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diff --git a/Nasr2015JointDP - Joint Dependency Parsing and Multiword Expression Tokenization.pdf b/Nasr2015JointDP - Joint Dependency Parsing and Multiword Expression Tokenization.pdf
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diff --git a/NeurIPS-2022-memory-efficient-continual-learning-with-transformers-Paper-Conference.pdf b/NeurIPS-2022-memory-efficient-continual-learning-with-transformers-Paper-Conference.pdf
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diff --git a/S0925231217315928.bib b/S0925231217315928.bib
new file mode 100644
index 0000000000000000000000000000000000000000..e457c35bd44868361fede9ae1a0689af5654ae6e
--- /dev/null
+++ b/S0925231217315928.bib
@@ -0,0 +1,13 @@
+@article{LOSING20181261,
+title = {Incremental on-line learning: A review and comparison of state of the art algorithms},
+journal = {Neurocomputing},
+volume = {275},
+pages = {1261-1274},
+year = {2018},
+issn = {0925-2312},
+doi = {https://doi.org/10.1016/j.neucom.2017.06.084},
+url = {https://www.sciencedirect.com/science/article/pii/S0925231217315928},
+author = {Viktor Losing and Barbara Hammer and Heiko Wersing},
+keywords = {Incremental learning, On-line learning, Data streams, Hyperparameter optimization, Model selection},
+abstract = {Recently, incremental and on-line learning gained more attention especially in the context of big data and learning from data streams, conflicting with the traditional assumption of complete data availability. Even though a variety of different methods are available, it often remains unclear which of them is suitable for a specific task and how they perform in comparison to each other. We analyze the key properties of eight popular incremental methods representing different algorithm classes. Thereby, we evaluate them with regards to their on-line classification error as well as to their behavior in the limit. Further, we discuss the often neglected issue of hyperparameter optimization specifically for each method and test how robustly it can be done based on a small set of examples. Our extensive evaluation on data sets with different characteristics gives an overview of the performance with respect to accuracy, convergence speed as well as model complexity, facilitating the choice of the best method for a given application.}
+}
\ No newline at end of file
diff --git a/S0957417420300245.bib b/S0957417420300245.bib
new file mode 100644
index 0000000000000000000000000000000000000000..aa49d64d1197065a5576199f2f56e998654f205f
--- /dev/null
+++ b/S0957417420300245.bib
@@ -0,0 +1,13 @@
+@article{SHAN2020113198,
+title = {Learn#: A Novel incremental learning method for text classification},
+journal = {Expert Systems with Applications},
+volume = {147},
+pages = {113198},
+year = {2020},
+issn = {0957-4174},
+doi = {https://doi.org/10.1016/j.eswa.2020.113198},
+url = {https://www.sciencedirect.com/science/article/pii/S0957417420300245},
+author = {Guangxu Shan and Shiyao Xu and Li Yang and Shengbin Jia and Yang Xiang},
+keywords = {Learn#, Incremental learning, Reinforcement learning},
+abstract = {Deep learning is an effective method for extracting the underlying information in text. However, it performs better on closed datasets and is less effective in real-world scenarios for text classification. As the data is updated and the amount of data increases, the models need to be retrained, in what is often a long training process. Therefore, we propose a novel incremental learning strategy to solve these problems. Our method, called Learn#, includes four components: a Student model, a reinforcement learning (RL) module, a Teacher model, and a discriminator model. The Student models first extract the features from the texts, then the RL module filters the results of multiple Student models. After that, the Teacher model reclassifies the filtered results to obtain the final texts category. To avoid increasing the Student models unlimitedly as the number of samples increases, the discriminator model is used to filter the Student models based on their similarity. The Learn# method has the advantage of a shorter training time than the One-Time model, because it only needs to train a new Student model each time, without changing the existing Student models. Furthermore, it can also obtain feedback during application and tune the models parameters over time. Experiments on different datasets show that our method for text classification outperforms many traditional One-Time methods, reducing training time by nearly 80%.}
+}
\ No newline at end of file
diff --git a/Scholivet2019TypologicalFF - Typological Features for Multilingual Delexicalised Dependency Parsing.pdf b/Scholivet2019TypologicalFF - Typological Features for Multilingual Delexicalised Dependency Parsing.pdf
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diff --git a/[Sandra_Kubler,_Ryan_McDonald,_Joakim_Nivre,_Graem(bookzz.org).pdf b/[Sandra_Kubler,_Ryan_McDonald,_Joakim_Nivre,_Graem(bookzz.org).pdf
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index 0000000000000000000000000000000000000000..e29a5aee2028f3756c3b09b212d4e1a3dad610aa
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diff --git a/amu-literature.bib b/amu-literature.bib
new file mode 100644
index 0000000000000000000000000000000000000000..d02e2cb19ec95c8c3d4d6fe5f9f2db8770f05cc1
--- /dev/null
+++ b/amu-literature.bib
@@ -0,0 +1,898 @@
+@Article{Auer2009,
+  author   = {Peter Auer},
+  journal  = {Language Sciences},
+  title    = {Online-syntax: thoughts on the temporality of spoken language},
+  year     = {2009},
+  number   = {1},
+  pages    = {1-3},
+  volume   = {31},
+  crossref = {Auer2009a},
+  doi      = {doi:10.1016/j.langsci.2007.10.004},
+  groups   = {misc},
+  keywords = {IL, Emergent grammar, Language ; time, Speech vs. writing ; Syntax of spoken language},
+}
+
+@InProceedings{DBLP:conf/coling/GoldbergN12,
+  author    = {Yoav Goldberg and Joakim Nivre},
+  booktitle = {{COLING} 2012, 24th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, 8-15 December 2012, Mumbai, India},
+  title     = {A Dynamic Oracle for Arc-Eager Dependency Parsing},
+  year      = {2012},
+  pages     = {959--976},
+  bibsource = {dblp computer science bibliography, http://dblp.org},
+  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/coling/GoldbergN12},
+  crossref  = {DBLP:conf/coling/2012},
+  groups    = {transition-based-parsing},
+  timestamp = {Mon, 11 Mar 2013 13:38:30 +0100},
+  url       = {http://aclweb.org/anthology/C/C12/C12-1059.pdf},
+}
+
+@InProceedings{kim-linzen-2020-cogs,
+  author    = {Kim, Najoung and Linzen, Tal},
+  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
+  title     = {{COGS}: A Compositional Generalization Challenge Based on Semantic Interpretation},
+  year      = {2020},
+  address   = {Online},
+  editor    = {Webber, Bonnie and Cohn, Trevor and He, Yulan and Liu, Yang},
+  month     = nov,
+  pages     = {9087--9105},
+  publisher = {Association for Computational Linguistics},
+  abstract  = {Natural language is characterized by compositionality: the meaning of a complex expression is constructed from the meanings of its constituent parts. To facilitate the evaluation of the compositional abilities of language processing architectures, we introduce COGS, a semantic parsing dataset based on a fragment of English. The evaluation portion of COGS contains multiple systematic gaps that can only be addressed by compositional generalization; these include new combinations of familiar syntactic structures, or new combinations of familiar words and familiar structures. In experiments with Transformers and LSTMs, we found that in-distribution accuracy on the COGS test set was near-perfect (96{--}99{\%}), but generalization accuracy was substantially lower (16{--}35{\%}) and showed high sensitivity to random seed (+-6{--}8{\%}). These findings indicate that contemporary standard NLP models are limited in their compositional generalization capacity, and position COGS as a good way to measure progress.},
+  doi       = {10.18653/v1/2020.emnlp-main.731},
+  file      = {:COGS-2020.pdf:PDF},
+  groups    = {data},
+  url       = {https://aclanthology.org/2020.emnlp-main.731},
+}
+
+@InProceedings{wolf2020transformers,
+  author    = {Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien and Delangue, Clement and Moi, Anthony and Cistac, Pierric and Rault, Tim and Louf, R{\'e}mi and Funtowicz, Morgan and others},
+  booktitle = {{Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations}},
+  title     = {{Transformers: State-of-the-art natural language processing}},
+  year      = {2020},
+  pages     = {38--45},
+  groups    = {ml-architechtures},
+}
+
+@Article{vaswani2017attention,
+  author  = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
+  journal = {Advances in neural information processing systems},
+  title   = {{Attention is all you need}},
+  year    = {2017},
+  volume  = {30},
+  groups  = {ml-architechtures},
+}
+
+@InProceedings{Nivre2016,
+  author    = {Nivre, Joakim and De Marneffe, Marie-Catherine and Ginter, Filip and Goldberg, Yoav and Hajic, Jan and Manning, Christopher D and McDonald, Ryan T and Petrov, Slav and Pyysalo, Sampo and Silveira, Natalia and others},
+  booktitle = {{LREC}},
+  title     = {{Universal Dependencies v1: A Multilingual Treebank Collection.}},
+  year      = {2016},
+  file      = {:Nivre2016 - Universal Dependencies V1_ a Multilingual Treebank Collection..pdf:PDF},
+  groups    = {data},
+}
+
+@InProceedings{chenmanning2014,
+  author    = {Chen, Danqi and Manning, Christopher},
+  booktitle = {Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
+  title     = {A Fast and Accurate Dependency Parser using Neural Networks},
+  year      = {2014},
+  address   = {Doha, Qatar},
+  month     = {October},
+  pages     = {740--750},
+  publisher = {Association for Computational Linguistics},
+  groups    = {transition-based-parsing, ml-architechtures},
+  url       = {http://www.aclweb.org/anthology/D14-1082},
+}
+
+
+@Misc{Bansal:2017,
+  author       = {Shivam Bansal},
+  howpublished = {\url{goo.gl/P9L8zd}},
+  note         = {[Online; accessed 21-July-2017]},
+  title        = {{Natural Language Processing Made Easy – using SpaCy (in Python)}},
+  year         = {2017},
+  groups       = {transition-based-parsing},
+}
+
+@Proceedings{DBLP:conf/coling/2012,
+  title     = {{COLING} 2012, 24th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, 8-15 December 2012, Mumbai, India},
+  year      = {2012},
+  editor    = {Martin Kay and Christian Boitet},
+  publisher = {Indian Institute of Technology Bombay},
+  bibsource = {dblp computer science bibliography, http://dblp.org},
+  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/coling/2012},
+  groups    = {misc},
+  timestamp = {Mon, 11 Mar 2013 13:38:30 +0100},
+  url       = {http://aclweb.org/anthology/C/C12/},
+}
+
+
+@InProceedings{nasr-taln:2009,
+  author    = {Alexis Nasr and Fr\'ed\'eric B\'echet},
+  booktitle = {Traitement Automatique des Langues Naturelles},
+  title     = {Analyse syntaxique en d\'ependances de l'oral spontan\'e},
+  year      = {2009},
+  address   = {Senlis, France},
+  groups    = {read-asap, alexis' papers},
+}
+
+@InProceedings{cerisara:inria-00537147,
+  author      = {Cerisara, Christophe and Gardent, Claire and Anderson, Corinna},
+  booktitle   = {{TLT9 -- the ninth international workshop on Treebanks and Linguistic Theories}},
+  title       = {{Building and Exploiting a Dependency Treebank for French Radio Broadcast}},
+  year        = {2010},
+  address     = {Tartu, Estonia},
+  month       = Dec,
+  series      = {Proceedings of the ninth international workshop on Treebanks and Linguistic Theories},
+  groups      = {data},
+  hal_id      = {inria-00537147},
+  hal_version = {v1},
+  keywords    = {speech ; parsing},
+  url         = {https://hal.inria.fr/inria-00537147},
+}
+
+@InProceedings{DBLP:conf/lrec/LacheretKBDGGOPT14,
+  author    = {Anne Lacheret and Sylvain Kahane and Julie Beliao and Anne Dister and Kim Gerdes and Jean{-}Philippe Goldman and Nicolas Obin and Paola Pietrandrea and Atanas Tchobanov},
+  booktitle = {{LREC}},
+  title     = {Rhapsodie: a Prosodic-Syntactic Treebank for Spoken French},
+  year      = {2014},
+  pages     = {295--301},
+  publisher = {European Language Resources Association {(ELRA)}},
+  groups    = {data},
+}
+
+@Misc{Rhapsodie,
+  author       = {Anne Lacheret-Dujour and Alexandre Sourie and Atanas Tchobanov},
+  howpublished = {\url{http://www.projet-rhapsodie.fr/}},
+  note         = {[Online; accessed 18-July-2017]},
+  title        = {{TREEBANK RHAPSODIE. Version 2.0 07.01.2015}},
+  year         = {2015},
+  groups       = {data},
+}
+
+@Misc{SpaCy:2017,
+  author       = {Matthew Honnibal and Ines Montani},
+  howpublished = {\url{https://spacy.io/}},
+  note         = {[Online; accessed 21-July-2017]},
+  title        = {{SpaCy. Industrial-Strength Natural Language Processing in Python, latest release: v1.8}},
+  year         = {2017},
+  groups       = {transition-based-parsing},
+}
+
+@Misc{SpaCyBlog:2015,
+  author       = {Matthew Honnibal},
+  howpublished = {\url{https://explosion.ai/blog/how-spacy-works}},
+  note         = {[Online; accessed 21-July-2017]},
+  title        = {{How spaCy Works}},
+  year         = {2015},
+  groups       = {transition-based-parsing},
+}
+
+
+
+@InProceedings{ZhangN12,
+  author    = {Yue Zhang and Joakim Nivre},
+  booktitle = {{COLING} 2012, 24th International Conference on Computational Linguistics, Proceedings of the Conference: Posters, 8-15 December 2012, Mumbai, India},
+  title     = {Analyzing the Effect of Global Learning and Beam-Search on Transition-Based Dependency Parsing},
+  year      = {2012},
+  pages     = {1391--1400},
+  bibsource = {dblp computer science bibliography, http://dblp.org},
+  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/coling/ZhangN12},
+  groups    = {transition-based-parsing},
+  timestamp = {Tue, 06 Sep 2016 07:47:56 +0200},
+  url       = {http://aclweb.org/anthology/C/C12/C12-2136.pdf},
+}
+
+
+@InProceedings{Hartmann2017,
+  author    = {Silvana Hartmann and Ilia Kuznetsov and Teresa Martin and Iryna Gurevych},
+  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017)},
+  title     = {Out-of-domain FrameNet Semantic Role Labeling},
+  year      = {2017},
+  pages     = {471-482},
+  publisher = {Association for Computational Linguistics},
+  groups    = {misc},
+}
+
+@Misc{SpaCyBlog:2013,
+  author       = {Matthew Honnibal},
+  howpublished = {\url{https://explosion.ai/blog/parsing-english-in-python}},
+  note         = {[Online; accessed 21-July-2017]},
+  title        = {{Parsing English in 500 Lines of Python}},
+  year         = {2013},
+  groups       = {transition-based-parsing},
+}
+
+@TechReport{Lavie96glr,
+  author = {Alon Lavie and Alex Waibel and Edward Gibson Mit},
+  title  = {{GLR*: A Robust Grammar-Focused Parser for Spontaneously Spoken Language}},
+  year   = {1996},
+  groups = {transition-based-parsing},
+}
+
+@Misc{Honnibal13anon-monotonic,
+  author = {Matthew Honnibal and Yoav Goldberg and Mark Johnson},
+  title  = {A Non-Monotonic Arc-Eager Transition System for Dependency Parsing},
+  year   = {2013},
+  groups = {transition-based-parsing},
+}
+
+ 
+@InProceedings{CANDITO14.494,
+  author    = {Marie Candito and Guy Perrier and Bruno Guillaume and Corentin Ribeyre and Karën Fort and Djamé Seddah and Eric De La Clergerie},
+  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
+  title     = {Deep Syntax Annotation of the Sequoia French Treebank},
+  year      = {2014},
+  address   = {Reykjavik, Iceland},
+  editor    = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
+  month     = {may},
+  publisher = {European Language Resources Association (ELRA)},
+  date      = {26-31},
+  groups    = {data},
+  isbn      = {978-2-9517408-8-4},
+  language  = {english},
+}
+
+@Proceedings{DBLP:conf/emnlp/2014,
+  title     = {Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, {EMNLP} 2014, October 25-29, 2014, Doha, Qatar, {A} meeting of SIGDAT, a Special Interest Group of the {ACL}},
+  year      = {2014},
+  editor    = {Alessandro Moschitti and Bo Pang and Walter Daelemans},
+  isbn      = {978-1-937284-96-1},
+  publisher = {{ACL}},
+  bibsource = {dblp computer science bibliography, http://dblp.org},
+  biburl    = {http://dblp2.uni-trier.de/rec/bib/conf/emnlp/2014},
+  groups    = {misc},
+  timestamp = {Sat, 15 Nov 2014 14:12:40 +0100},
+}
+
+@Misc{Schrading:2015,
+  author       = {J Nicolas Schrading},
+  howpublished = {\url{https://nicschrading.com/project/Intro-to-NLP-with-spaCy/}},
+  note         = {[Online; accessed 23-July-2017]},
+  title        = {{Intro to NLP with spaCy}},
+  year         = {2015},
+  groups       = {transition-based-parsing},
+}
+
+@Misc{Montani:2017,
+  author       = {Ines Montani},
+  howpublished = {\url{https://github.com/explosion/spacy-models/releases/tag/fr_depvec_web_lg-1.0.0}},
+  note         = {[Online; accessed 23-July-2017]},
+  title        = {{French Dep/Vec Web (large) v1.0.0}},
+  year         = {2017},
+  groups       = {data},
+}
+
+@Misc{MaltEval:2013,
+  author       = {Johan Hall and Jens Nilsson and Joakim Nivre},
+  howpublished = {\url{http://www.maltparser.org/malteval.html}},
+  note         = {[Online; accessed 24-July-2017]},
+  title        = {{MaltEval. The MaltEval webpage}},
+  year         = {2013},
+  groups       = {evaluation, transition-based-parsing},
+}
+
+@InBook{Deulofeu2010,
+  author    = {Deulofeu, Jos{\'e} and Duffort, Lucie and Gerdes, Kim and Kahane, Sylvain and Pietrandrea, Paola},
+  chapter   = {Depends on What the French Say - Spoken Corpus Annotation with and beyond Syntactic Functions},
+  pages     = {274--281},
+  publisher = {Association for Computational Linguistics},
+  title     = {Proceedings of the Fourth Linguistic Annotation Workshop},
+  year      = {2010},
+  groups    = {misc},
+  location  = {Uppsala, Sweden},
+  url       = {http://aclweb.org/anthology/W10-1843},
+}
+
+@Article{CADIOT1992,
+  author    = {Pierre Cadiot},
+  journal   = {Linguistics},
+  title     = {Matching syntax and pragmatics: a typology of topic and topic-related constructions in spoken French},
+  year      = {1992},
+  number    = {1},
+  volume    = {30},
+  doi       = {10.1515/ling.1992.30.1.57},
+  groups    = {misc},
+  publisher = {Walter de Gruyter {GmbH}},
+  url       = {https://doi.org/10.1515/ling.1992.30.1.57},
+}
+
+@Book{VanValin2005,
+  author    = {Robert D. van Valin Jr.},
+  publisher = {Cambridge University Press},
+  title     = {Exploring the Syntax-Semantics Interface},
+  year      = {2005},
+  isbn      = {052101056X},
+  groups    = {misc},
+  url       = {https://www.amazon.com/Exploring-Syntax-Semantics-Interface-Robert-Valin/dp/052101056X?SubscriptionId=0JYN1NVW651KCA56C102&tag=techkie-20&linkCode=xm2&camp=2025&creative=165953&creativeASIN=052101056X},
+}
+
+@InCollection{kubler2009dependency,
+  author    = {K{\"u}bler, Sandra and McDonald, Ryan and Nivre, Joakim},
+  booktitle = {Dependency parsing},
+  publisher = {Springer},
+  title     = {Dependency parsing},
+  year      = {2009},
+  pages     = {11--20},
+  file      = {:[Sandra_Kubler,_Ryan_McDonald,_Joakim_Nivre,_Graem(bookzz.org).pdf:PDF},
+  groups    = {transition-based-parsing},
+}
+
+@InProceedings{NasrNonlexicalCP,
+  author = {Alexis Nasr and Owen Rambow},
+  title  = {Nonlexical Chart Parsing for TAG},
+  groups = {alexis' papers},
+  url    = {https://api.semanticscholar.org/CorpusID:16881431},
+}
+
+@InProceedings{Montella2023InvestigatingTE,
+  author    = {S{\'e}bastien Montella and Alexis Nasr and Johannes Heinecke and Fr{\'e}d{\'e}ric B{\'e}chet and Lina Maria Rojas-Barahona},
+  booktitle = {Conference of the European Chapter of the Association for Computational Linguistics},
+  title     = {Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters},
+  year      = {2023},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:256827163},
+}
+
+@Article{Montella2022TransferLA,
+  author  = {S{\'e}bastien Montella and Lina Maria Rojas-Barahona and Fr{\'e}d{\'e}ric B{\'e}chet and Johannes Heinecke and Alexis Nasr},
+  journal = {Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI)},
+  title   = {Transfer Learning and Masked Generation for Answer Verbalization},
+  year    = {2022},
+  groups  = {alexis' papers},
+  url     = {https://api.semanticscholar.org/CorpusID:250390918},
+}
+
+@Article{Dary2022DependencyPW,
+  author  = {Franck Dary and Maxime Petit and Alexis Nasr},
+  journal = {Transactions of the Association for Computational Linguistics},
+  title   = {Dependency Parsing with Backtracking using Deep Reinforcement Learning},
+  year    = {2022},
+  pages   = {888-903},
+  volume  = {10},
+  groups  = {read-asap, alexis' papers},
+  url     = {https://api.semanticscholar.org/CorpusID:250089351},
+}
+
+@Article{Dary2021TheRM,
+  author     = {Franck Dary and Alexis Nasr},
+  journal    = {Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)},
+  title      = {The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies},
+  year       = {2021},
+  file       = {:Dary2021TheRM - The Reading Machine_ a Versatile Framework for Studying Incremental Parsing Strategies.pdf:PDF:https\://aclanthology.org/2021.iwpt-1.3.pdf},
+  groups     = {transition-based-parsing, incremental-ml, incremental-tb-parsing, read-asap, alexis' papers},
+  priority   = {prio3},
+  readstatus = {read},
+  url        = {https://api.semanticscholar.org/CorpusID:236486084},
+}
+
+@InProceedings{Dary2021OnTR,
+  author = {Franck Dary and Abdellah Fourtassi and Alexis Nasr},
+  title  = {On the Role of Low-Level Linguistic Tasks for Reading Time Prediction},
+  year   = {2021},
+  groups = {alexis' papers},
+  url    = {https://api.semanticscholar.org/CorpusID:236554677},
+}
+
+@InProceedings{Aloui2020SLICESL,
+  author    = {Cindy Aloui and Carlos Ramisch and Alexis Nasr and Lucie Barque},
+  booktitle = {International Conference on Computational Linguistics},
+  title     = {SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings},
+  year      = {2020},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:227230349},
+}
+
+@InProceedings{Scholivet2019TypologicalFF,
+  author    = {Manon Scholivet and Franck Dary and Alexis Nasr and Benoit Favre and Carlos Ramisch},
+  booktitle = {North American Chapter of the Association for Computational Linguistics},
+  title     = {Typological Features for Multilingual Delexicalised Dependency Parsing},
+  year      = {2019},
+  file      = {:Scholivet2019TypologicalFF - Typological Features for Multilingual Delexicalised Dependency Parsing.pdf:PDF:https\://aclanthology.org/N19-1393.pdf},
+  groups    = {misc, read-asap, alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:174800989},
+}
+
+@InProceedings{Bchet2019CALORQUESTG,
+  author    = {Fr{\'e}d{\'e}ric B{\'e}chet and Cindy Aloui and Delphine Charlet and G{\'e}raldine Damnati and Johannes Heinecke and Alexis Nasr and Fr{\'e}d{\'e}ric Herledan},
+  booktitle = {Conference on Empirical Methods in Natural Language Processing},
+  title     = {CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations},
+  year      = {2019},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:207912018},
+}
+
+@Article{Marzinotto2018SourcesOC,
+  author  = {Gabriel Marzinotto and Fr{\'e}d{\'e}ric B{\'e}chet and G{\'e}raldine Damnati and Alexis Nasr},
+  journal = {ArXiv},
+  title   = {Sources of Complexity in Semantic Frame Parsing for Information Extraction},
+  year    = {2018},
+  volume  = {abs/1812.09193},
+  groups  = {alexis' papers},
+  url     = {https://api.semanticscholar.org/CorpusID:56657893},
+}
+
+@Article{Marzinotto2018SemanticFP,
+  author  = {Gabriel Marzinotto and Jeremy Auguste and Fr{\'e}d{\'e}ric B{\'e}chet and G{\'e}raldine Damnati and Alexis Nasr},
+  journal = {ArXiv},
+  title   = {Semantic Frame Parsing for Information Extraction : the CALOR corpus},
+  year    = {2018},
+  volume  = {abs/1812.08039},
+  groups  = {alexis' papers},
+  url     = {https://api.semanticscholar.org/CorpusID:21725691},
+}
+
+@InProceedings{Michalon2016DeeperSF,
+  author    = {Olivier Michalon and Corentin Ribeyre and Marie Candito and Alexis Nasr},
+  booktitle = {International Conference on Computational Linguistics},
+  title     = {Deeper syntax for better semantic parsing},
+  year      = {2016},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:6455915},
+}
+
+@InProceedings{Chung2016RevisitingSA,
+  author    = {Wonchang Chung and Suhas Siddhesh Mhatre and Alexis Nasr and Owen Rambow and Srinivas Bangalore},
+  booktitle = {Tag},
+  title     = {Revisiting Supertagging and Parsing: How to Use Supertags in Transition-Based Parsing},
+  year      = {2016},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:11781952},
+}
+
+@InProceedings{Nasr2015JointDP,
+  author    = {Alexis Nasr and Carlos Ramisch and Jos{\'e} Deulofeu and Andrea M. F. Valli},
+  booktitle = {Annual Meeting of the Association for Computational Linguistics},
+  title     = {Joint Dependency Parsing and Multiword Expression Tokenization},
+  year      = {2015},
+  file      = {:Nasr2015JointDP - Joint Dependency Parsing and Multiword Expression Tokenization.pdf:PDF:https\://aclanthology.org/P15-1108.pdf},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:18001782},
+}
+
+@InProceedings{Nasr2014AutomaticallyES,
+  author    = {Alexis Nasr and Fr{\'e}d{\'e}ric B{\'e}chet and Benoit Favre and Thierry Bazillon and Jos{\'e} Deulofeu and Andrea M. F. Valli},
+  booktitle = {International Conference on Language Resources and Evaluation},
+  title     = {Automatically enriching spoken corpora with syntactic information for linguistic studies},
+  year      = {2014},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:14928036},
+}
+
+@InProceedings{Hamdi2014AutomaticallyBA,
+  author    = {Ahmed Hamdi and N{\'u}ria Gala and Alexis Nasr},
+  booktitle = {VarDial@COLING},
+  title     = {Automatically building a Tunisian Lexicon for Deverbal Nouns},
+  year      = {2014},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:9726397},
+}
+
+@InProceedings{Mirroshandel2012SemisupervisedDP,
+  author    = {Seyed Abolghasem Mirroshandel and Alexis Nasr and Joseph Le Roux},
+  booktitle = {Annual Meeting of the Association for Computational Linguistics},
+  title     = {Semi-supervised Dependency Parsing using Lexical Affinities},
+  year      = {2012},
+  groups    = {misc, alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:3618812},
+}
+
+@InProceedings{Mirroshandel2011ActiveLF,
+  author    = {Seyed Abolghasem Mirroshandel and Alexis Nasr},
+  booktitle = {International Workshop/Conference on Parsing Technologies},
+  title     = {Active Learning for Dependency Parsing Using Partially Annotated Sentences},
+  year      = {2011},
+  groups    = {read-asap, alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:8959989},
+}
+
+@InProceedings{Bchet2009RobustDP,
+  author    = {Fr{\'e}d{\'e}ric B{\'e}chet and Alexis Nasr},
+  booktitle = {Interspeech},
+  title     = {Robust dependency parsing for spoken language understanding of spontaneous speech},
+  year      = {2009},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:9029131},
+}
+
+@InProceedings{Bangalore2009MICAAP,
+  author    = {Srinivas Bangalore and Pierre Boullier and Alexis Nasr and Owen Rambow and Beno{\^i}t Sagot},
+  booktitle = {North American Chapter of the Association for Computational Linguistics},
+  title     = {MICA: A Probabilistic Dependency Parser Based on Tree Insertion Grammars (Application Note)},
+  year      = {2009},
+  file      = {:Bangalore2009MICAAP - MICA_ a Probabilistic Dependency Parser Based on Tree Insertion Grammars (Application Note).pdf:PDF:https\://dl.acm.org/doi/pdf/10.5555/1620853.1620904},
+  groups    = {transition-based-parsing, misc, read-asap, alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:15937393},
+}
+
+@InProceedings{Nasr2004SuperTaggingAF,
+  author    = {Alexis Nasr and Owen Rambow},
+  booktitle = {Tag},
+  title     = {SuperTagging and Full Parsing},
+  year      = {2004},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:198622},
+}
+
+@InProceedings{Bchet2000TaggingUP,
+  author    = {Fr{\'e}d{\'e}ric B{\'e}chet and Alexis Nasr and Franck Genet},
+  booktitle = {Annual Meeting of the Association for Computational Linguistics},
+  title     = {Tagging Unknown Proper Names Using Decision Trees},
+  year      = {2000},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:14590797},
+}
+
+@InProceedings{Nasr1999ALM,
+  author    = {Alexis Nasr and Y. Est{\`e}ve and Fr{\'e}d{\'e}ric B{\'e}chet and Thierry Spriet and Renato De Mori},
+  booktitle = {EUROSPEECH},
+  title     = {A language model combining n-grams and stochastic finite state automata},
+  year      = {1999},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:78200},
+}
+
+@InProceedings{Kahane1998PseudoProjectivityAP,
+  author    = {Sylvain Kahane and Alexis Nasr and Owen Rambow},
+  booktitle = {International Conference on Computational Linguistics},
+  title     = {Pseudo-Projectivity: A Polynomially Parsable Non-Projective Dependency Grammar},
+  year      = {1998},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:219302999},
+}
+
+@InProceedings{Nasr1995AFA,
+  author    = {Alexis Nasr},
+  booktitle = {International Workshop/Conference on Parsing Technologies},
+  title     = {A Formalism and a Parser for Lexicalised Dependency Grammars},
+  year      = {1995},
+  groups    = {alexis' papers},
+  url       = {https://api.semanticscholar.org/CorpusID:115466382},
+}
+
+@Article{SHAN2020113198,
+  author   = {Guangxu Shan and Shiyao Xu and Li Yang and Shengbin Jia and Yang Xiang},
+  journal  = {Expert Systems with Applications},
+  title    = {Learn#: A Novel incremental learning method for text classification},
+  year     = {2020},
+  issn     = {0957-4174},
+  pages    = {113198},
+  volume   = {147},
+  abstract = {Deep learning is an effective method for extracting the underlying information in text. However, it performs better on closed datasets and is less effective in real-world scenarios for text classification. As the data is updated and the amount of data increases, the models need to be retrained, in what is often a long training process. Therefore, we propose a novel incremental learning strategy to solve these problems. Our method, called Learn#, includes four components: a Student model, a reinforcement learning (RL) module, a Teacher model, and a discriminator model. The Student models first extract the features from the texts, then the RL module filters the results of multiple Student models. After that, the Teacher model reclassifies the filtered results to obtain the final texts category. To avoid increasing the Student models unlimitedly as the number of samples increases, the discriminator model is used to filter the Student models based on their similarity. The Learn# method has the advantage of a shorter training time than the One-Time model, because it only needs to train a new Student model each time, without changing the existing Student models. Furthermore, it can also obtain feedback during application and tune the models parameters over time. Experiments on different datasets show that our method for text classification outperforms many traditional One-Time methods, reducing training time by nearly 80%.},
+  doi      = {https://doi.org/10.1016/j.eswa.2020.113198},
+  file     = {:1-s2.0-S0957417420300245-main.pdf:PDF},
+  groups   = {incremental-ml},
+  keywords = {Learn#, Incremental learning, Reinforcement learning},
+  url      = {https://www.sciencedirect.com/science/article/pii/S0957417420300245},
+}
+
+@Article{LOSING20181261,
+  author   = {Viktor Losing and Barbara Hammer and Heiko Wersing},
+  journal  = {Neurocomputing},
+  title    = {Incremental on-line learning: A review and comparison of state of the art algorithms},
+  year     = {2018},
+  issn     = {0925-2312},
+  pages    = {1261-1274},
+  volume   = {275},
+  abstract = {Recently, incremental and on-line learning gained more attention especially in the context of big data and learning from data streams, conflicting with the traditional assumption of complete data availability. Even though a variety of different methods are available, it often remains unclear which of them is suitable for a specific task and how they perform in comparison to each other. We analyze the key properties of eight popular incremental methods representing different algorithm classes. Thereby, we evaluate them with regards to their on-line classification error as well as to their behavior in the limit. Further, we discuss the often neglected issue of hyperparameter optimization specifically for each method and test how robustly it can be done based on a small set of examples. Our extensive evaluation on data sets with different characteristics gives an overview of the performance with respect to accuracy, convergence speed as well as model complexity, facilitating the choice of the best method for a given application.},
+  doi      = {https://doi.org/10.1016/j.neucom.2017.06.084},
+  file     = {:1-s2.0-S0925231217315928-main.pdf:PDF},
+  groups   = {incremental-ml},
+  keywords = {Incremental learning, On-line learning, Data streams, Hyperparameter optimization, Model selection},
+  url      = {https://www.sciencedirect.com/science/article/pii/S0925231217315928},
+}
+
+@Article{yang2020strongly,
+  author  = {Yang, Kaiyu and Deng, Jia},
+  journal = {Advances in neural information processing systems},
+  title   = {Strongly incremental constituency parsing with graph neural networks},
+  year    = {2020},
+  pages   = {21687--21698},
+  volume  = {33},
+  file    = {:2010.14568v1.pdf:PDF},
+  groups  = {incremental-ml, incremental-tb-parsing},
+}
+
+@InProceedings{johansson2007incremental,
+  author    = {Johansson, Richard and Nugues, Pierre},
+  booktitle = {Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)},
+  title     = {Incremental dependency parsing using online learning},
+  year      = {2007},
+  pages     = {1134--1138},
+  file      = {:D07-1123.pdf:PDF},
+  groups    = {incremental-ml},
+}
+
+@Article{demberg-etal-2013-incremental,
+  author    = {Demberg, Vera and Keller, Frank and Koller, Alexander},
+  journal   = {Computational Linguistics},
+  title     = {Incremental, Predictive Parsing with Psycholinguistically Motivated {T}ree-{A}djoining {G}rammar},
+  year      = {2013},
+  month     = dec,
+  number    = {4},
+  pages     = {1025--1066},
+  volume    = {39},
+  address   = {Cambridge, MA},
+  doi       = {10.1162/COLI_a_00160},
+  file      = {:J13-4008.pdf:PDF},
+  groups    = {incremental-ml},
+  publisher = {MIT Press},
+  url       = {https://aclanthology.org/J13-4008},
+}
+
+@Article{iscen2022memory,
+  author  = {Iscen, Ahmet and Bird, Thomas and Caron, Mathilde and Fathi, Alireza and Schmid, Cordelia},
+  journal = {arXiv preprint arXiv:2210.04485},
+  title   = {A memory transformer network for incremental learning},
+  year    = {2022},
+  file    = {:2210.04485v1.pdf:PDF},
+  groups  = {incremental-ml},
+}
+
+@Article{montiel2021river,
+  author  = {Montiel, Jacob and Halford, Max and Mastelini, Saulo Martiello and Bolmier, Geoffrey and Sourty, Raphael and Vaysse, Robin and Zouitine, Adil and Gomes, Heitor Murilo and Read, Jesse and Abdessalem, Talel and others},
+  journal = {Journal of Machine Learning Research},
+  title   = {River: machine learning for streaming data in python},
+  year    = {2021},
+  number  = {110},
+  pages   = {1--8},
+  volume  = {22},
+  file    = {:20-1380.pdf:PDF},
+  groups  = {incremental-ml},
+}
+
+@Article{Dary2022DependencyPW,
+  author  = {Franck Dary and Maxime Petit and Alexis Nasr},
+  journal = {Transactions of the Association for Computational Linguistics},
+  title   = {Dependency Parsing with Backtracking using Deep Reinforcement Learning},
+  year    = {2022},
+  pages   = {888-903},
+  volume  = {10},
+  file    = {:tacl_a_00496.pdf:PDF},
+  groups  = {transition-based-parsing, incremental-tb-parsing},
+  url     = {https://api.semanticscholar.org/CorpusID:250089351},
+}
+
+@InProceedings{ambati2015incremental,
+  author       = {Ambati, Bharat Ram and Deoskar, Tejaswini and Johnson, Mark and Steedman, Mark},
+  booktitle    = {Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015},
+  title        = {An incremental algorithm for transition-based CCG parsing},
+  year         = {2015},
+  organization = {Association for Computational Linguistics (ACL)},
+  pages        = {53--63},
+  file         = {:N15-1006.pdf:PDF},
+  groups       = {incremental-tb-parsing},
+}
+
+@Article{ermis2022memory,
+  author  = {Ermis, Beyza and Zappella, Giovanni and Wistuba, Martin and Rawal, Aditya and Archambeau, Cedric},
+  journal = {Advances in Neural Information Processing Systems},
+  title   = {Memory efficient continual learning with transformers},
+  year    = {2022},
+  pages   = {10629--10642},
+  volume  = {35},
+  file    = {:NeurIPS-2022-memory-efficient-continual-learning-with-transformers-Paper-Conference.pdf:PDF},
+  groups  = {incremental-ml},
+}
+
+@Article{ke2023sub,
+  author  = {Ke, Zixuan and Liu, Bing and Xiong, Wenhan and Celikyilmaz, Asli and Li, Haoran},
+  journal = {arXiv preprint arXiv:2310.09436},
+  title   = {Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks},
+  year    = {2023},
+  file    = {:2310.09436v1.pdf:PDF},
+  groups  = {incremental-ml},
+}
+
+@Article{nivre2008algorithms,
+  author    = {Nivre, Joakim},
+  journal   = {Computational Linguistics},
+  title     = {Algorithms for deterministic incremental dependency parsing},
+  year      = {2008},
+  number    = {4},
+  pages     = {513--553},
+  volume    = {34},
+  file      = {:coli.07-056-r1-07-027.pdf:PDF},
+  groups    = {incremental-tb-parsing, transition-based-parsing},
+  publisher = {MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…},
+}
+
+@Article{ke2022continual,
+  author  = {Ke, Zixuan and Liu, Bing},
+  journal = {arXiv preprint arXiv:2211.12701},
+  title   = {Continual learning of natural language processing tasks: A survey},
+  year    = {2022},
+  file    = {:2211.12701v2.pdf:PDF},
+  groups  = {incremental-ml},
+}
+
+@Article{ezquerro2023challenges,
+  author  = {Ezquerro, Ana and G{\'o}mez-Rodr{\'\i}guez, Carlos and Vilares, David},
+  journal = {arXiv preprint arXiv:2309.16254},
+  title   = {On the challenges of fully incremental neural dependency parsing},
+  year    = {2023},
+  file    = {:2309.16254v1.pdf:PDF},
+  groups  = {incremental-ml, incremental-tb-parsing, read-asap},
+}
+
+@Article{ezquerro2024partial,
+  author               = {Ezquerro, Ana and G{\'o}mez-Rodr{\'\i}guez, Carlos and Vilares, David},
+  journal              = {arXiv preprint arXiv:2402.02782},
+  title                = {From Partial to Strictly Incremental Constituent Parsing},
+  year                 = {2024},
+  comment-taniabladier = {https://github.com/TaniaBladier/incpar},
+  file                 = {:2402.02782v1.pdf:PDF},
+  groups               = {incremental-tb-parsing, incremental-ml, read-asap},
+}
+
+@InProceedings{kitaev2022learned,
+  author    = {Kitaev, Nikita and Lu, Thomas and Klein, Dan},
+  booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
+  title     = {Learned incremental representations for parsing},
+  year      = {2022},
+  pages     = {3086--3095},
+  file      = {:2022.acl-long.220.pdf:PDF},
+  groups    = {transition-based-parsing, misc},
+}
+
+@Article{hupkes2019compositionality,
+  author  = {Hupkes, Dieuwke and Dankers, Verna and Mul, Mathijs and Bruni, Elia},
+  journal = {arXiv preprint arXiv:1908.08351},
+  title   = {The compositionality of neural networks: integrating symbolism and connectionism},
+  year    = {2019},
+  volume  = {3},
+  file    = {:11674-ArticlePDF-23358-2-10-20200413.pdf:PDF},
+  groups  = {misc},
+}
+
+@Article{dalvi2023neurox,
+  author  = {Dalvi, Fahim and Sajjad, Hassan and Durrani, Nadir},
+  journal = {arXiv preprint arXiv:2305.17073},
+  title   = {Neurox library for neuron analysis of deep nlp models},
+  year    = {2023},
+  file    = {:2023.acl-demo.21.pdf:PDF},
+  groups  = {misc},
+}
+
+@Article{mahowald2024dissociating,
+  author    = {Mahowald, Kyle and Ivanova, Anna A and Blank, Idan A and Kanwisher, Nancy and Tenenbaum, Joshua B and Fedorenko, Evelina},
+  journal   = {Trends in Cognitive Sciences},
+  title     = {Dissociating language and thought in large language models},
+  year      = {2024},
+  file      = {:mahowald2024dissociating - Dissociating Language and Thought in Large Language Models.pdf:PDF:https\://arxiv.org/pdf/2301.06627},
+  groups    = {misc},
+  publisher = {Elsevier},
+}
+
+@Article{timkey2023language,
+  author  = {Timkey, William and Linzen, Tal},
+  journal = {arXiv preprint arXiv:2310.16142},
+  title   = {A language model with limited memory capacity captures interference in human sentence processing},
+  year    = {2023},
+  file    = {:2023.findings-emnlp.582.pdf:PDF},
+  groups  = {Groupe de lecture},
+}
+
+@Article{toraman2023impact,
+  author    = {Toraman, Cagri and Yilmaz, Eyup Halit and {\c{S}}ahinu{\c{c}}, Furkan and Ozcelik, Oguzhan},
+  journal   = {ACM Transactions on Asian and Low-Resource Language Information Processing},
+  title     = {Impact of tokenization on language models: An analysis for turkish},
+  year      = {2023},
+  number    = {4},
+  pages     = {1--21},
+  volume    = {22},
+  file      = {:3578707.pdf:PDF},
+  groups    = {Tokenization},
+  publisher = {ACM New York, NY},
+}
+
+@Article{edman2024cute,
+  author  = {Edman, Lukas and Schmid, Helmut and Fraser, Alexander},
+  journal = {arXiv preprint arXiv:2409.15452},
+  title   = {CUTE: Measuring LLMs' Understanding of Their Tokens},
+  year    = {2024},
+  file    = {:2409.15452v1.pdf:PDF},
+  groups  = {Tokenization},
+}
+
+@InProceedings{weller-di-marco-fraser-2024-analyzing,
+  author    = {Weller-Di Marco, Marion and Fraser, Alexander},
+  booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
+  title     = {Analyzing the Understanding of Morphologically Complex Words in Large Language Models},
+  year      = {2024},
+  address   = {Torino, Italia},
+  editor    = {Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
+  month     = may,
+  pages     = {1009--1020},
+  publisher = {ELRA and ICCL},
+  abstract  = {We empirically study the ability of a Large Language Model (gpt-3.5-turbo-instruct) to understand morphologically complex words. In our experiments, we looked at a variety of tasks to analyse German compounds with regard to compositional word formation and derivation, such as identifying the head noun of existing and novel compounds, identifying the shared verb stem between two words, or recognizing words constructed with inappropriately used derivation morphemes as invalid. Our results show that the language model is generally capable of solving most tasks, except for the task of identifying ill-formed word forms. While the model demonstrated a good overall understanding of complex words and their word-internal structure, the results also suggest that there is no formal knowledge of derivational rules, but rather an interpretation of the observed word parts to derive the meaning of a word.},
+  file      = {:2024.lrec-main.90.pdf:PDF},
+  groups    = {Tokenization},
+  url       = {https://aclanthology.org/2024.lrec-main.90},
+}
+
+@Article{zuhra2024accurate,
+  author    = {Zuhra, Fatima Tuz and Saleem, Khalid and Naz, Surayya},
+  journal   = {Journal of King Saud University-Computer and Information Sciences},
+  title     = {An accurate transformer-based model for transition-based dependency parsing of free word order languages},
+  year      = {2024},
+  pages     = {102107},
+  file      = {:1-s2.0-S1319157824001964-main.pdf:PDF},
+  groups    = {transition-based-parsing},
+  publisher = {Elsevier},
+}
+
+@PhdThesis{kaeshammer2012german,
+  author = {Kaeshammer, Miriam},
+  school = {Master’s thesis, Universitat des Saarlandes, Saarlandes, Germany},
+  title  = {A German treebank and lexicon for tree-adjoining grammars},
+}
+
+@PhdThesis{dary2022modeles,
+  author = {Dary, Franck},
+  school = {Aix-Marseille},
+  title  = {Mod{\`e}les incr{\'e}mentaux pour le traitement automatique des langues},
+  year   = {2022},
+  file   = {:/home/taniabladier/Programming/AMU/literature/220712_DARY_133h970llca542xvpgsw987hcnsz_TH.pdf:PDF},
+  groups = {transition-based-parsing, ml-architechtures, read-asap, alexis' papers},
+}
+
+@Article{alrefaie2024exploring,
+  author  = {Alrefaie, Mohamed Taher and Morsy, Nour Eldin and Samir, Nada},
+  journal = {arXiv preprint arXiv:2403.11130},
+  title   = {Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models},
+  year    = {2024},
+  file    = {:2403.11130v2.pdf:PDF},
+  groups  = {Tokenization},
+}
+
+@Article{Luitel2024CanPP,
+  author  = {Nishant Luitel and Nirajan Bekoju and Anand Kumar Sah and Subarna Shakya},
+  journal = {ArXiv},
+  title   = {Can Perplexity Predict Fine-Tuning Performance? An Investigation of Tokenization Effects on Sequential Language Models for Nepali},
+  year    = {2024},
+  volume  = {abs/2404.18071},
+  file    = {:2404.18071v1.pdf:PDF},
+  groups  = {Tokenization},
+  url     = {https://api.semanticscholar.org/CorpusID:269449398},
+}
+
+@Article{alyafeai2023evaluating,
+  author    = {Alyafeai, Zaid and Al-shaibani, Maged S and Ghaleb, Mustafa and Ahmad, Irfan},
+  journal   = {Neural Processing Letters},
+  title     = {Evaluating various tokenizers for Arabic text classification},
+  year      = {2023},
+  number    = {3},
+  pages     = {2911--2933},
+  volume    = {55},
+  file      = {:s11063-022-10990-8.pdf:PDF},
+  groups    = {Tokenization},
+  publisher = {Springer},
+}
+
+@Article{lindsey2024comparison,
+  author    = {Lindsey, LeAnn M and Pershing, Nicole L and Habib, Anisa and Stephens, W Zac and Blaschke, Anne J and Sundar, Hari},
+  journal   = {bioRxiv},
+  title     = {A Comparison of Tokenization Impact in Attention Based and State Space Genomic Language Models},
+  year      = {2024},
+  pages     = {2024--09},
+  file      = {:2024.09.09.612081v1.full.pdf:PDF},
+  groups    = {Tokenization},
+  publisher = {Cold Spring Harbor Laboratory},
+}
+
+@Comment{jabref-meta: databaseType:bibtex;}
+
+@Comment{jabref-meta: grouping:
+0 AllEntriesGroup:;
+1 StaticGroup:transition-based-parsing\;0\;1\;0x664db3ff\;\;\;;
+2 StaticGroup:incremental-tb-parsing\;0\;1\;0x336666ff\;\;\;;
+1 StaticGroup:ml-architechtures\;0\;1\;0x9ab34dff\;\;\;;
+2 StaticGroup:incremental-ml\;0\;1\;0x996699ff\;\;\;;
+1 StaticGroup:data\;0\;1\;0xcc3333ff\;\;\;;
+1 StaticGroup:evaluation\;0\;1\;0xffff4dff\;\;\;;
+1 StaticGroup:read-asap\;0\;1\;0x488accff\;\;\;;
+2 StaticGroup:alexis' papers\;0\;1\;0x4d8080ff\;\;\;;
+1 StaticGroup:misc\;0\;0\;0xb3e6b3ff\;\;\;;
+1 StaticGroup:Groupe de lecture\;0\;1\;0x00ffffff\;\;\;;
+1 StaticGroup:Tokenization\;0\;1\;0xd74ecbff\;\;\;;
+}
diff --git a/citation.bib b/citation.bib
new file mode 100644
index 0000000000000000000000000000000000000000..3f1248b26e8e5bcac5c23ab50696206001192b41
--- /dev/null
+++ b/citation.bib
@@ -0,0 +1,208 @@
+@inproceedings{Hamdi2014AutomaticallyBA,
+  title={Automatically building a Tunisian Lexicon for Deverbal Nouns},
+  author={Ahmed Hamdi and N{\'u}ria Gala and Alexis Nasr},
+  booktitle={VarDial@COLING},
+  year={2014},
+  url={https://api.semanticscholar.org/CorpusID:9726397}
+}
+
+@inproceedings{Montella2023InvestigatingTE,
+  title={Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters},
+  author={S{\'e}bastien Montella and Alexis Nasr and Johannes Heinecke and Fr{\'e}d{\'e}ric B{\'e}chet and Lina Maria Rojas-Barahona},
+  booktitle={Conference of the European Chapter of the Association for Computational Linguistics},
+  year={2023},
+  url={https://api.semanticscholar.org/CorpusID:256827163}
+}
+
+@inproceedings{Mirroshandel2011ActiveLF,
+  title={Active Learning for Dependency Parsing Using Partially Annotated Sentences},
+  author={Seyed Abolghasem Mirroshandel and Alexis Nasr},
+  booktitle={International Workshop/Conference on Parsing Technologies},
+  year={2011},
+  url={https://api.semanticscholar.org/CorpusID:8959989}
+}
+
+@inproceedings{Dary2021OnTR,
+  title={On the Role of Low-Level Linguistic Tasks for Reading Time Prediction},
+  author={Franck Dary and Abdellah Fourtassi and Alexis Nasr},
+  year={2021},
+  url={https://api.semanticscholar.org/CorpusID:236554677}
+}
+
+@inproceedings{Nasr1999ALM,
+  title={A language model combining n-grams and stochastic finite state automata},
+  author={Alexis Nasr and Y. Est{\`e}ve and Fr{\'e}d{\'e}ric B{\'e}chet and Thierry Spriet and Renato De Mori},
+  booktitle={EUROSPEECH},
+  year={1999},
+  url={https://api.semanticscholar.org/CorpusID:78200}
+}
+
+@inproceedings{Nasr2014AutomaticallyES,
+  title={Automatically enriching spoken corpora with syntactic information for linguistic studies},
+  author={Alexis Nasr and Fr{\'e}d{\'e}ric B{\'e}chet and Benoit Favre and Thierry Bazillon and Jos{\'e} Deulofeu and Andrea M. F. Valli},
+  booktitle={International Conference on Language Resources and Evaluation},
+  year={2014},
+  url={https://api.semanticscholar.org/CorpusID:14928036}
+}
+
+@inproceedings{Michalon2016DeeperSF,
+  title={Deeper syntax for better semantic parsing},
+  author={Olivier Michalon and Corentin Ribeyre and Marie Candito and Alexis Nasr},
+  booktitle={International Conference on Computational Linguistics},
+  year={2016},
+  url={https://api.semanticscholar.org/CorpusID:6455915}
+}
+
+@inproceedings{NasrNonlexicalCP,
+  title={Nonlexical Chart Parsing for TAG},
+  author={Alexis Nasr and Owen Rambow},
+  url={https://api.semanticscholar.org/CorpusID:16881431}
+}
+
+@article{Dary2022DependencyPW,
+  title={Dependency Parsing with Backtracking using Deep Reinforcement Learning},
+  author={Franck Dary and Maxime Petit and Alexis Nasr},
+  journal={Transactions of the Association for Computational Linguistics},
+  year={2022},
+  volume={10},
+  pages={888-903},
+  url={https://api.semanticscholar.org/CorpusID:250089351}
+}
+
+@inproceedings{Nasr2004SuperTaggingAF,
+  title={SuperTagging and Full Parsing},
+  author={Alexis Nasr and Owen Rambow},
+  booktitle={Tag},
+  year={2004},
+  url={https://api.semanticscholar.org/CorpusID:198622}
+}
+
+@inproceedings{Bchet2009RobustDP,
+  title={Robust dependency parsing for spoken language understanding of spontaneous speech},
+  author={Fr{\'e}d{\'e}ric B{\'e}chet and Alexis Nasr},
+  booktitle={Interspeech},
+  year={2009},
+  url={https://api.semanticscholar.org/CorpusID:9029131}
+}
+
+@inproceedings{Scholivet2019TypologicalFF,
+  title={Typological Features for Multilingual Delexicalised Dependency Parsing},
+  author={Manon Scholivet and Franck Dary and Alexis Nasr and Benoit Favre and Carlos Ramisch},
+  booktitle={North American Chapter of the Association for Computational Linguistics},
+  year={2019},
+  url={https://api.semanticscholar.org/CorpusID:174800989}
+}
+
+@inproceedings{Kahane1998PseudoProjectivityAP,
+  title={Pseudo-Projectivity, A Polynomially Parsable Non-Projective Dependency Grammar},
+  author={Sylvain Kahane and Alexis Nasr and Owen Rambow},
+  booktitle={Annual Meeting of the Association for Computational Linguistics},
+  year={1998},
+  url={https://api.semanticscholar.org/CorpusID:499440}
+}
+
+@article{Marzinotto2018SemanticFP,
+  title={Semantic Frame Parsing for Information Extraction : the CALOR corpus},
+  author={Gabriel Marzinotto and Jeremy Auguste and Fr{\'e}d{\'e}ric B{\'e}chet and G{\'e}raldine Damnati and Alexis Nasr},
+  journal={ArXiv},
+  year={2018},
+  volume={abs/1812.08039},
+  url={https://api.semanticscholar.org/CorpusID:21725691}
+}
+
+@article{Montella2022TransferLA,
+  title={Transfer Learning and Masked Generation for Answer Verbalization},
+  author={S{\'e}bastien Montella and Lina Maria Rojas-Barahona and Fr{\'e}d{\'e}ric B{\'e}chet and Johannes Heinecke and Alexis Nasr},
+  journal={Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI)},
+  year={2022},
+  url={https://api.semanticscholar.org/CorpusID:250390918}
+}
+
+@inproceedings{Bchet2000TaggingUP,
+  title={Tagging Unknown Proper Names Using Decision Trees},
+  author={Fr{\'e}d{\'e}ric B{\'e}chet and Alexis Nasr and Franck Genet},
+  booktitle={Annual Meeting of the Association for Computational Linguistics},
+  year={2000},
+  url={https://api.semanticscholar.org/CorpusID:14590797}
+}
+
+@inproceedings{Bchet2019CALORQUESTG,
+  title={CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations},
+  author={Fr{\'e}d{\'e}ric B{\'e}chet and Cindy Aloui and Delphine Charlet and G{\'e}raldine Damnati and Johannes Heinecke and Alexis Nasr and Fr{\'e}d{\'e}ric Herledan},
+  booktitle={Conference on Empirical Methods in Natural Language Processing},
+  year={2019},
+  url={https://api.semanticscholar.org/CorpusID:207912018}
+}
+
+@inproceedings{Mirroshandel2012SemisupervisedDP,
+  title={Semi-supervised Dependency Parsing using Lexical Affinities},
+  author={Seyed Abolghasem Mirroshandel and Alexis Nasr and Joseph Le Roux},
+  booktitle={Annual Meeting of the Association for Computational Linguistics},
+  year={2012},
+  url={https://api.semanticscholar.org/CorpusID:3618812}
+}
+
+@inproceedings{Bangalore2009MICAAP,
+  title={MICA: A Probabilistic Dependency Parser Based on Tree Insertion Grammars (Application Note)},
+  author={Srinivas Bangalore and Pierre Boullier and Alexis Nasr and Owen Rambow and Beno{\^i}t Sagot},
+  booktitle={North American Chapter of the Association for Computational Linguistics},
+  year={2009},
+  url={https://api.semanticscholar.org/CorpusID:15937393}
+}
+
+@article{Dary2021TheRM,
+  title={The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies},
+  author={Franck Dary and Alexis Nasr},
+  journal={Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)},
+  year={2021},
+  url={https://api.semanticscholar.org/CorpusID:236486084}
+}
+
+@inproceedings{Nasr2015JointDP,
+  title={Joint Dependency Parsing and Multiword Expression Tokenization},
+  author={Alexis Nasr and Carlos Ramisch and Jos{\'e} Deulofeu and Andrea M. F. Valli},
+  booktitle={Annual Meeting of the Association for Computational Linguistics},
+  year={2015},
+  url={https://api.semanticscholar.org/CorpusID:18001782}
+}
+
+@article{Marzinotto2018SourcesOC,
+  title={Sources of Complexity in Semantic Frame Parsing for Information Extraction},
+  author={Gabriel Marzinotto and Fr{\'e}d{\'e}ric B{\'e}chet and G{\'e}raldine Damnati and Alexis Nasr},
+  journal={ArXiv},
+  year={2018},
+  volume={abs/1812.09193},
+  url={https://api.semanticscholar.org/CorpusID:56657893}
+}
+
+@inproceedings{Aloui2020SLICESL,
+  title={SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings},
+  author={Cindy Aloui and Carlos Ramisch and Alexis Nasr and Lucie Barque},
+  booktitle={International Conference on Computational Linguistics},
+  year={2020},
+  url={https://api.semanticscholar.org/CorpusID:227230349}
+}
+
+@inproceedings{Nasr1995AFA,
+  title={A Formalism and a Parser for Lexicalised Dependency Grammars},
+  author={Alexis Nasr},
+  booktitle={International Workshop/Conference on Parsing Technologies},
+  year={1995},
+  url={https://api.semanticscholar.org/CorpusID:115466382}
+}
+
+@inproceedings{Chung2016RevisitingSA,
+  title={Revisiting Supertagging and Parsing: How to Use Supertags in Transition-Based Parsing},
+  author={Wonchang Chung and Suhas Siddhesh Mhatre and Alexis Nasr and Owen Rambow and Srinivas Bangalore},
+  booktitle={Tag},
+  year={2016},
+  url={https://api.semanticscholar.org/CorpusID:11781952}
+}
+
+@inproceedings{Kahane1998PseudoProjectivityAP,
+  title={Pseudo-Projectivity: A Polynomially Parsable Non-Projective Dependency Grammar},
+  author={Sylvain Kahane and Alexis Nasr and Owen Rambow},
+  booktitle={International Conference on Computational Linguistics},
+  year={1998},
+  url={https://api.semanticscholar.org/CorpusID:219302999}
+}
\ No newline at end of file
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