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title: "Conference on Computational Natural Language… — works"
description: "123 works of Conference on Computational Natural Language Learning (CoNLL) in our library · page 1 of 2, the most cited first."
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# Works of Conference on Computational Natural Language Learning (CoNLL)

123 works · page 1 of 2 · the most cited first · [← Conference on Computational Natural Language…](https://md.research.elamur.ai/free/en/venues/conll/)

**1** [2](https://md.research.elamur.ai/free/en/venues/conll/works/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/conll/works/page/2/)

1. [**Generating Sentences from a Continuous Space**Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al.*2016 · 2,367 citations*](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/)
2. [**Design Challenges and Misconceptions in Named Entity Recognition**Lev Ratinov, Dan Roth*2009 · 1,836 citations*](https://md.research.elamur.ai/free/en/papers/ratinov-2009-design-challenges-misconceptions-named-entity/)
3. [**Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition**Erik F. Tjong Kim Sang, Fien De Meulder*2003 · 1,479 citations*](https://md.research.elamur.ai/free/en/papers/sang-2003-introduction-conll-2003-shared-task/)
4. [**CoNLL-X Shared Task on Multilingual Dependency Parsing**Sabine Buchholz, Erwin Marsi*2006 · 1,426 citations*](https://md.research.elamur.ai/free/en/papers/buchholz-2006-conll-x-shared-task-multilingual/)
5. [**Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons**Andrew McCallum, Wei Li*2003 · 1,335 citations*](https://md.research.elamur.ai/free/en/papers/mccallum-2003-early-results-named-entity-recognition/)
6. [**Better Word Representations with Recursive Neural Networks for Morphology**Thang Luong, Richard Socher, Christopher Manning*2013 · 1,017 citations*](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/)
7. [**Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling**Xavier Carreras, Lluís Màrquez*2005 · 899 citations*](https://md.research.elamur.ai/free/en/papers/carreras-2005-introduction-conll-2005-shared-task/)
8. [**Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe**Milan Straka, Jana Straková*2017 · 811 citations*](https://md.research.elamur.ai/free/en/papers/straka-2017-tokenizing-pos-tagging-lemmatizing-parsing/)
9. [**Linguistic Regularities in Sparse and Explicit Word Representations**Omer Levy, Yoav Goldberg*2014 · 790 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/)
10. [**A Comparison of Algorithms for Maximum Entropy Parameter Estimation**Robert Malouf*2002 · 752 citations*](https://md.research.elamur.ai/free/en/papers/malouf-2002-comparison-algorithms-maximum-entropy-parameter/)
11. [**context2vec: Learning Generic Context Embedding with Bidirectional LSTM**Oren Melamud, Jacob Goldberger, Ido Dagan*2016 · 666 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)
12. [**A Linear Programming Formulation for Global Inference in Natural Language Tasks**Dan Roth, Wen-tau Yih*2004 · 636 citations*](https://md.research.elamur.ai/free/en/papers/roth-2004-linear-programming-formulation-global-inference/)
13. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
14. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
15. [**Learning subjective nouns using extraction pattern bootstrapping**Ellen Riloff, Janyce Wiebe, Theresa Wilson*2003 · 579 citations*](https://md.research.elamur.ai/free/en/papers/riloff-2003-learning-subjective-nouns-extraction-pattern/)
16. [**Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task**Heeyoung Lee, Yves Peirsman, Angel Chang, et al.*2011 · 506 citations*](https://md.research.elamur.ai/free/en/papers/lee-2011-stanford-s-multi-pass-sieve/)
17. [**Named Entity Recognition through Classifier Combination**Radu Florian, Abe Ittycheriah, Hongyan Jing, et al.*2003 · 484 citations*](https://md.research.elamur.ai/free/en/papers/florian-2003-named-entity-recognition-through-classifier/)
18. [**CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes**Sameer Pradhan, Lance Ramshaw, Mitchell Marcus, et al.*2011 · 434 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2011-conll-2011-shared-task-modeling/)
19. [**Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/)
20. [**The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text**Richárd Farkas, Veronika Vincze, György Móra, et al.*2010 · 370 citations*](https://md.research.elamur.ai/free/en/papers/farkas-2010-conll-2010-shared-task-learning/)
21. [**Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring**Fei Dong, Yue Zhang, Jie Yang*2017 · 365 citations*](https://md.research.elamur.ai/free/en/papers/dong-2017-attention-based-recurrent-convolutional-neural/)
22. [**Modelling Context with User Embeddings for Sarcasm Detection in Social Media**Silvio Amir, Byron C. Wallace, Hao Lyu, et al.*2016 · 349 citations*](https://md.research.elamur.ai/free/en/papers/amir-2016-modelling-context-user-embeddings-sarcasm/)
23. [**Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task**Timothy Dozat, Peng Qi, Christopher D. Manning*2017 · 346 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2017-stanford-s-graph-based-neural/)
24. [**Graph-based Neural Multi-Document Summarization**Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.*2017 · 346 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/)
25. [**Multilingual Dependency Analysis with a Two-Stage Discriminative Parser**Ryan McDonald, Kevin Lerman, Fernando Pereira*2006 · 321 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2006-multilingual-dependency-analysis-two-stage/)
26. [**CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Jan Hajič, Martin Popel, et al.*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2018-conll-2018-shared-task-multilingual/)
27. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
28. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
29. [**Memory-Based Dependency Parsing**Joakim Nivre, Johan Hall, Jens Nilsson*2004 · 299 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2004-memory-based-dependency-parsing/)
30. [**Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines**Joakim Nivre, Johan Hall, Jens Nilsson, et al.*2006 · 293 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2006-labeled-pseudo-projective-dependency-parsing/)
31. [**Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition**Tjong Kim Sang, Erik F.*2002 · 291 citations*](https://md.research.elamur.ai/free/en/papers/sang-2002-introduction-conll-2002-shared-task/)
32. [**Multilingual Semantic Role Labeling**Anders Björkelund, Love Hafdell, Pierre Nugues*2009 · 281 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2009-multilingual-semantic-role-labeling/)
33. [**Learning Discriminative Projections for Text Similarity Measures**Wen-tau Yih, Kristina Toutanova, John C. Platt, et al.*2011 · 273 citations*](https://md.research.elamur.ai/free/en/papers/yih-2011-learning-discriminative-projections-text-similarity/)
34. [**Experiments with a Multilanguage Non-Projective Dependency Parser**Giuseppe Attardi*2006 · 242 citations*](https://md.research.elamur.ai/free/en/papers/attardi-2006-experiments-multilanguage-non-projective-dependency/)
35. [**Med-HALT: Medical Domain Hallucination Test for Large Language Models**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2023 · 219 citations*](https://md.research.elamur.ai/free/en/papers/pal-2023-med-halt-medical-domain-hallucination/)
36. [**The CoNLL-2015 Shared Task on Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2015 · 210 citations*](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/)
37. [**Semi-Supervised Recognition of Sarcasm in Twitter and Amazon**Dmitry Davidov, Oren Tsur, Ari Rappoport*2010 · 198 citations*](https://md.research.elamur.ai/free/en/papers/davidov-2010-semi-supervised-recognition-sarcasm-twitter/)
38. [**Polyglot: Distributed Word Representations for Multilingual NLP**Rami Al-Rfou', Bryan Perozzi, Steven Skiena*2013 · 192 citations*](https://md.research.elamur.ai/free/en/papers/rfou-2013-polyglot-distributed-word-representations-multilingual/)
39. [**CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2016 · 187 citations*](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)
40. [**Lexicon Infused Phrase Embeddings for Named Entity Resolution**Alexandre Passos, Vineet Kumar, Andrew McCallum*2014 · 143 citations*](https://md.research.elamur.ai/free/en/papers/passos-2014-lexicon-infused-phrase-embeddings-named/)
41. [**EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference**Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.*2019 · 122 citations*](https://md.research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/)
42. [**Data Augmentation for Morphological Reinflection**Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.*2017 · 122 citations*](https://md.research.elamur.ai/free/en/papers/silfverberg-2017-data-augmentation-morphological-reinflection/)
43. [**BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language**Philip A. Huebner, Elior Sulem, Fisher Cynthia, et al.*2021 · 91 citations*](https://md.research.elamur.ai/free/en/papers/huebner-2021-babyberta-learning-more-grammar-small/)
44. [**Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/)
45. [**A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling**Diego Marcheggiani, Anton Frolov, Ivan Titov*2017 · 86 citations*](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/)
46. [**A Refined End-to-End Discourse Parser**Jianxiang Wang, Man Lan*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-refined-end-end-discourse-parser/)
47. [**Are Pretrained Language Models Symbolic Reasoners over Knowledge?**Nora Kassner, Benno Krojer, Hinrich Schütze*2020 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2020-are-pretrained-language-models-symbolic/)
48. [**A Joint Framework for Coreference Resolution and Mention Head Detection**Haoruo Peng, Kai-Wei Chang, Dan Roth*2015 · 75 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-joint-framework-coreference-resolution-mention/)
49. [**A Cascade Method for Detecting Hedges and their Scope in Natural Language Text**Buzhou Tang, Xiaolong Wang, Xuan Wang, et al.*2010 · 65 citations*](https://md.research.elamur.ai/free/en/papers/tang-2010-cascade-method-detecting-hedges-their/)
50. [**A Non-Monotonic Arc-Eager Transition System for Dependency Parsing**Matthew Honnibal, Yoav Goldberg, Mark Johnson*2013 · 55 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2013-non-monotonic-arc-eager-transition/)
51. [**Inference Protocols for Coreference Resolution**Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, et al.*2011 · 50 citations*](https://md.research.elamur.ai/free/en/papers/chang-2011-inference-protocols-coreference-resolution/)
52. [**An Expectation Maximization Approach to Pronoun Resolution**Colin Cherry, Shane Bergsma*2005 · 49 citations*](https://md.research.elamur.ai/free/en/papers/cherry-2005-expectation-maximization-approach-pronoun-resolution/)
53. [**Memory-Based Resolution of In-Sentence Scopes of Hedge Cues**Roser Morante, Vincent Van Asch, Walter Daelemans*2010 · 48 citations*](https://md.research.elamur.ai/free/en/papers/morante-2010-memory-based-resolution-sentence-scopes/)
54. [**Shallow Discourse Parsing Using Convolutional Neural Network**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 47 citations*](https://md.research.elamur.ai/free/en/papers/qin-2016-shallow-discourse-parsing-convolutional-neural/)
55. [**Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task**Jianxiang Wang, Man Lan*2016 · 47 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-two-end-end-shallow-discourse/)
56. [**Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts**Henry Y. Chen, Ethan Zhou, Jinho D. Choi*2017 · 46 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-robust-coreference-resolution-entity-linking/)
57. [**Pragmatic competence of pre-trained language models through the lens of discourse connectives**Lalchand Pandia, Yan Cong, Allyson Ettinger*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/pandia-2021-pragmatic-competence-pre-trained-language/)
58. [**Automatic Error Type Annotation for Arabic**Riadh Belkebir, Nizar Habash*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/belkebir-2021-automatic-error-type-annotation-arabic/)
59. [**Robust Non-Explicit Neural Discourse Parser in English and Chinese**Attapol Rutherford, Nianwen Xue*2016 · 41 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/)
60. [**NOPE: A Corpus of Naturally-Occurring Presuppositions in English**Alicia Parrish, Sebastian Schuster, Alex Warstadt, et al.*2021 · 40 citations*](https://md.research.elamur.ai/free/en/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/)
61. [**Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings**Todor Mihaylov, Anette Frank*2016 · 40 citations*](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/)
62. [**Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information**Go Inoue, Hiroyuki Shindo, Yuji Matsumoto*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2017-joint-prediction-morphosyntactic-categories-fine/)
63. [**'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks'**Anders Björkelund, Agnieszka Falenska, Xiang Yu, et al.*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2017-ims-conll-2017-ud-shared/)
64. [**OpenStance: Real-world Zero-shot Stance Detection**Hanzi Xu, Slobodan Vucetic, Wenpeng Yin*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-openstance-real-world-zero-shot/)
65. [**Classifying Syntactic Errors in Learner Language**Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, et al.*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/choshen-2020-classifying-syntactic-errors-learner-language/)
66. [**The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers**Murhaf Fares, Stephan Oepen, Lilja Øvrelid, et al.*2018 · 27 citations*](https://md.research.elamur.ai/free/en/papers/fares-2018-2018-shared-task-extrinsic-parser/)
67. [**Dynamic Knowledge-Base Alignment for Coreference Resolution**Jiaping Zheng, Luke Vilnis, Sameer Singh, et al.*2013 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2013-dynamic-knowledge-base-alignment-coreference/)
68. [**Unrestricted Coreference Resolution via Global Hypergraph Partitioning**Jie Cai, Éva Mújdricza-Maydt, Michael Strube*2011 · 27 citations*](https://md.research.elamur.ai/free/en/papers/cai-2011-unrestricted-coreference-resolution-global-hypergraph/)
69. [**OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing**Stephan Oepen, Jonathon Read, Tatjana Scheffler, et al.*2016 · 26 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2016-opt-oslo-potsdam-teesside-pipelining/)
70. [**The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models**Evgeny Stepanov, Giuseppe Riccardi, Ali Orkan Bayer*2015 · 25 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2015-unitn-discourse-parser-conll-2015/)
71. [**RelaxCor Participation in CoNLL Shared Task on Coreference Resolution**Emili Sapena, Lluís Padró, Jordi Turmo*2011 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sapena-2011-relaxcor-participation-conll-shared-task/)
72. [**New Features for FrameNet - WordNet Mapping**Sara Tonelli, Daniele Pighin*2009 · 24 citations*](https://md.research.elamur.ai/free/en/papers/tonelli-2009-new-features-framenet-wordnet-mapping/)
73. [**A Constituent Syntactic Parse Tree Based Discourse Parser**Zhongyi Li, Hai Zhao, Chenxi Pang, et al.*2016 · 23 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-constituent-syntactic-parse-tree-based/)
74. [**On the Frailty of Universal POS Tags for Neural UD Parsers**Mark Anderson, Carlos Gómez-Rodríguez*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2020-frailty-universal-pos-tags-neural/)
75. [**Coreference in Wikipedia: Main Concept Resolution**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/)
76. [**The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification**Longyue Wang, Chris Hokamp, Tsuyoshi Okita, et al.*2015 · 18 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-dcu-discourse-parser-connective-argument/)
77. [**Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task**Olga Uryupina, Sriparna Saha, Asif Ekbal, et al.*2011 · 18 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2011-multi-metric-optimization-coreference-unitn/)
78. [**Narrative Schema as World Knowledge for Coreference Resolution**Joseph Irwin, Mamoru Komachi, Yuji Matsumoto*2011 · 17 citations*](https://md.research.elamur.ai/free/en/papers/irwin-2011-narrative-schema-as-world-knowledge/)
79. [**Tackling Zero Pronoun Resolution and Non-Zero Coreference Resolution Jointly**Shisong Chen, Binbin Gu, Jianfeng Qu, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-tackling-zero-pronoun-resolution-non/)
80. [**Shallow Discourse Parsing Using Constituent Parsing Tree**Changge Chen, Peilu Wang, Hai Zhao*2015 · 15 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-shallow-discourse-parsing-constituent-parsing/)
81. [**A non-projective greedy dependency parser with bidirectional LSTMs**David Vilares, Carlos Gómez-Rodríguez*2017 · 12 citations*](https://md.research.elamur.ai/free/en/papers/vilares-2017-non-projective-greedy-dependency-parser/)
82. [**Learned Construction Grammars Converge Across Registers Given Increased Exposure**Jonathan Dunn, Harish Tayyar Madabushi*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2021-learned-construction-grammars-converge-across/)
83. [**DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs**Lasha Abzianidze, Johan Bos, Stephan Oepen*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2020-drs-mrp-2020-dressing-up/)
84. [**Adapting Event Embedding for Implicit Discourse Relation Recognition**Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, et al.*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/pacheco-2016-adapting-event-embedding-implicit-discourse/)
85. [**UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task**Evgeny Stepanov, Giuseppe Riccardi*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/stepanov-2016-unitn-end-end-discourse-parser/)
86. [**Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks**Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2018-jointud-part-speech-tagging-lemmatization/)
87. [**LIMSI@CoNLL'17: UD Shared Task**Lauriane Aufrant, Guillaume Wisniewski, François Yvon*2017 · 10 citations*](https://md.research.elamur.ai/free/en/papers/aufrant-2017-limsi-conll-17-ud-shared/)
88. [**Poly-co: a multilayer perceptron approach for coreference detection**Eric Charton, Michel Gagnon*2011 · 10 citations*](https://md.research.elamur.ai/free/en/papers/charton-2011-poly-co-multilayer-perceptron-approach/)
89. [**BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisition**Miyu Oba, Akari Haga, Akiyo Fukatsu, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/oba-2023-babylm-challenge-curriculum-learning-based/)
90. [**Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task**Amit Seker, Amir More, Reut Tsarfaty*2018 · 9 citations*](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/)
91. [**Towards more Human-like Language Models based on Contextualizer Pretraining Strategy**Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2023-more-human-like-language-models/)
92. [**IPA CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling**Zébulon Goriely, Paula Buttery*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/goriely-2025-ipa-childes-g2p-feature-rich/)
93. [**Acquiring Linguistic Knowledge from Multimodal Input**Theodor Amariucai, Alexander Scott Warstadt*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/amariucai-2023-acquiring-linguistic-knowledge-multimodal-input/)
94. [**'The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms'**Kuan Yu, Pavel Sofroniev, Erik Schill, et al.*2017 · 6 citations*](https://md.research.elamur.ai/free/en/papers/yu-2017-parse-is-darc-full-errors/)
95. [**Modelling the Usage of Discourse Connectives as Rational Speech Acts**Frances Yung, Kevin Duh, Taku Komura, et al.*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yung-2016-modelling-usage-discourse-connectives-as/)
96. [**The Effect of Automatic Tokenization, Vocalization, Stemming, and POS Tagging on Arabic Dependency Parsing**Emad Mohamed*2011 · 5 citations*](https://md.research.elamur.ai/free/en/papers/mohamed-2011-effect-automatic-tokenization-vocalization-stemming/)
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