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# Works of Conference of the European Chapter of the Association for Computational Linguistics (EACL)

132 works · page 1 of 2 · the most cited first · [← Conference of the European Chapter of the…](https://md.research.elamur.ai/free/en/venues/eacl/)

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1. [**Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference**Timo Schick, Hinrich Schütze*2021 · 1,796 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-exploiting-cloze-questions-few-shot/)
2. [**Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering**Gautier Izacard, Edouard Grave*2021 · 1,674 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2021-leveraging-passage-retrieval-generative-models/)
3. [**brat: a Web-based Tool for NLP-Assisted Text Annotation**Pontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.*2012 · 1,368 citations*](https://md.research.elamur.ai/free/en/papers/stenetorp-2012-brat-web-based-tool-nlp/)
4. [**Recipes for Building an Open-Domain Chatbot**Stephen Roller, Emily Dinan, Naman Goyal, et al.*2021 · 1,206 citations*](https://md.research.elamur.ai/free/en/papers/roller-2021-recipes-building-open-domain-chatbot/)
5. [**Very Deep Convolutional Networks for Text Classification**Alexis Conneau, Holger Schwenk, Loïc Barrault, et al.*2017 · 1,110 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2017-very-deep-convolutional-networks-text/)
6. [**MTEB: Massive Text Embedding Benchmark**Niklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.*2022 · 1,021 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-mteb-massive-text-embedding-benchmark/)
7. [**Using Encyclopedic Knowledge for Named entity Disambiguation**Razvan Bunescu, Marius Paşca*2006 · 978 citations*](https://md.research.elamur.ai/free/en/papers/bunescu-2006-encyclopedic-knowledge-named-entity-disambiguation/)
8. [**Using the Output Embedding to Improve Language Models**Ofir Press, Lior Wolf*2017 · 891 citations*](https://md.research.elamur.ai/free/en/papers/press-2017-output-embedding-improve-language-models/)
9. [**Improving Vector Space Word Representations Using Multilingual Correlation**Manaal Faruqui, Chris Dyer*2014 · 819 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2014-improving-vector-space-word-representations/)
10. [**Online Learning of Approximate Dependency Parsing Algorithms**Ryan McDonald, Fernando Pereira*2006 · 729 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2006-online-learning-approximate-dependency-parsing/)
11. [**Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality**Jey Han Lau, David Newman, Timothy Baldwin*2014 · 699 citations*](https://md.research.elamur.ai/free/en/papers/lau-2014-machine-reading-tea-leaves-automatically/)
12. [**Representing Text Chunks**Erik F. Tjong Kim Sang, Jorn Veenstra*1999 · 569 citations*](https://md.research.elamur.ai/free/en/papers/sang-1999-representing-text-chunks/)
13. [**Empirical Methods for Compound Splitting**Philipp Koehn, Kevin Knight*2003 · 507 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2003-empirical-methods-compound-splitting/)
14. [**Named Entity Recognition without Gazetteers**Andrei Mikheev, Marc Moens, Claire Grover*1999 · 502 citations*](https://md.research.elamur.ai/free/en/papers/mikheev-1999-named-entity-recognition-without-gazetteers/)
15. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/)
16. [**URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors**Patrick Littell, David R. Mortensen, Ke Lin, et al.*2017 · 394 citations*](https://md.research.elamur.ai/free/en/papers/littell-2017-uriel-lang2vec-representing-languages-as/)
17. [**Paraphrasing Revisited with Neural Machine Translation**Jonathan Mallinson, Rico Sennrich, Mirella Lapata*2017 · 319 citations*](https://md.research.elamur.ai/free/en/papers/mallinson-2017-paraphrasing-revisited-neural-machine-translation/)
18. [**Entailment above the word level in distributional semantics**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 318 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/)
19. [**Computational Argumentation Quality Assessment in Natural Language**Henning Wachsmuth, Nona Naderi, Yufang Hou, et al.*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/)
20. [**Identifying beneficial task relations for multi-task learning in deep neural networks**Joachim Bingel, Anders Søgaard*2017 · 305 citations*](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/)
21. [**Combining Distributional and Morphological Information for Part of Speech Induction**Alexander Clark*2003 · 295 citations*](https://md.research.elamur.ai/free/en/papers/clark-2003-combining-distributional-morphological-information-part/)
22. [**Re-evaluating the Role of Bleu in Machine Translation Research**Chris Callison-Burch, Miles Osborne, Philipp Koehn*2006 · 292 citations*](https://md.research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/)
23. [**An Efficient Method for Determining Bilingual Word Classes**Franz Josef Och*1999 · 288 citations*](https://md.research.elamur.ai/free/en/papers/och-1999-efficient-method-determining-bilingual-word/)
24. [**Learning to Translate in Real-time with Neural Machine Translation**Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al.*2017 · 286 citations*](https://md.research.elamur.ai/free/en/papers/gu-2017-learning-translate-real-time-neural/)
25. [**Large Language Models for Mathematical Reasoning: Progresses and Challenges**Janice Ahn, Rishu Verma, Renze Lou, et al.*2024 · 279 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2024-large-language-models-mathematical-reasoning/)
26. [**MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark**Haoran Li, Abhinav Arora, Shuohui Chen, et al.*2021 · 239 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-mtop-comprehensive-multilingual-task-oriented/)
27. [**Bayesian Word Sense Induction**Samuel Brody, Mirella Lapata*2009 · 234 citations*](https://md.research.elamur.ai/free/en/papers/brody-2009-bayesian-word-sense-induction/)
28. [**Simplifying Text for Language-Impaired Readers**John Carroll, Guido Minnen, Darren Pearce, et al.*1999 · 233 citations*](https://md.research.elamur.ai/free/en/papers/carroll-1999-simplifying-text-language-impaired-readers/)
29. [**Two-level Description of Turkish Morphology**Kemal Oflazer*1993 · 212 citations*](https://md.research.elamur.ai/free/en/papers/oflazer-1993-two-level-description-turkish-morphology/)
30. [**Entity-level Factual Consistency of Abstractive Text Summarization**Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/)
31. [**Nematus: a Toolkit for Neural Machine Translation**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 202 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/)
32. [**DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation**Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/valipour-2023-dylora-parameter-efficient-tuning-pre/)
33. [**Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns**Attapol Rutherford, Nianwen Xue*2014 · 191 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/)
34. [**Challenges in Automated Debiasing for Toxic Language Detection**Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.*2021 · 190 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2021-challenges-automated-debiasing-toxic-language/)
35. [**A Dataset for Multi-Target Stance Detection**Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu*2017 · 190 citations*](https://md.research.elamur.ai/free/en/papers/sobhani-2017-dataset-multi-target-stance-detection/)
36. [**Semi-supervised learning of morphological paradigms and lexicons**Mans Hulden, Markus Forsberg, Malin Ahlberg*2014 · 188 citations*](https://md.research.elamur.ai/free/en/papers/ahlberg-2014-paradigm-extraction/)
37. [**Word Sense Induction for Novel Sense Detection**Jey Han Lau, Paul Cook, Diana McCarthy, et al.*2012 · 187 citations*](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/)
38. [**GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models**Archiki Prasad, Peter Hase, Xiang Zhou, et al.*2023 · 180 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2023-grips-gradient-free-edit-based/)
39. [**Learning part-of-speech taggers with inter-annotator agreement loss**Barbara Plank, Dirk Hovy, Anders Søgaard*2014 · 178 citations*](https://md.research.elamur.ai/free/en/papers/plank-2014-learning-part-speech-taggers-inter/)
40. [**Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)
41. [**Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models**Nora Kassner, Philipp Dufter, Hinrich Schütze*2021 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2021-multilingual-lama-investigating-knowledge-multilingual/)
42. [**Debiasing Pre-trained Contextualised Embeddings**Masahiro Kaneko, Danushka Bollegala*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kaneko-2021-debiasing-pre-trained-contextualised-embeddings/)
43. [**Unsupervised Recognition of Literal and Non-Literal Use of Idiomatic Expressions**Caroline Sporleder, Linlin Li*2009 · 173 citations*](https://md.research.elamur.ai/free/en/papers/sporleder-2009-unsupervised-recognition-literal-non-literal/)
44. [**CDER: Efficient MT Evaluation Using Block Movements**Gregor Leusch, Nicola Ueffing, Hermann Ney*2006 · 171 citations*](https://md.research.elamur.ai/free/en/papers/leusch-2006-cder-efficient-mt-evaluation-block/)
45. [**Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs**Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/balloccu-2024-leak-cheat-repeat-data-contamination/)
46. [**Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing**Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/)
47. [**Morfessor 2.0: Toolkit for statistical morphological segmentation**Peter Smit, Sami Virpioja, Stig-Arne Grönroos, et al.*2014 · 168 citations*](https://md.research.elamur.ai/free/en/papers/smit-2014-morfessor-2-0-toolkit-statistical/)
48. [**Parsing Arabic Dialects**David Chiang, Mona Diab, Nizar Habash, et al.*2006 · 166 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2006-parsing-arabic-dialects/)
49. [**On Hallucination and Predictive Uncertainty in Conditional Language Generation**Yijun Xiao, William Yang Wang*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2021-hallucination-predictive-uncertainty-conditional-language/)
50. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/)
51. [**How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs**Rico Sennrich*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-how-grammatical-is-character-level/)
52. [**The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations**Lasha Abzianidze, Johannes Bjerva, Kilian Evang, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/)
53. [**Automatically Constructing a Lexicon of Verb Phrase Idiomatic Combinations**Afsaneh Fazly, Suzanne Stevenson*2006 · 131 citations*](https://md.research.elamur.ai/free/en/papers/fazly-2006-automatically-constructing-lexicon-verb-phrase/)
54. [**Translation by Structural Correspondences**Ronald M. Kaplan, Klaus Netter, Jurgen Wedekind, et al.*1989 · 122 citations*](https://md.research.elamur.ai/free/en/papers/kaplan-1989-translation-structural-correspondences/)
55. [**Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules**Advaith Siddharthan, Angrosh Mandya*2014 · 119 citations*](https://md.research.elamur.ai/free/en/papers/siddharthan-2014-hybrid-text-simplification-synchronous-dependency/)
56. [**EM Works for Pronoun Anaphora Resolution**Eugene Charniak, Micha Elsner*2009 · 118 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2009-em-works-pronoun-anaphora-resolution/)
57. [**An Incremental Parser for Abstract Meaning Representation**Marco Damonte, Shay B. Cohen, Giorgio Satta*2017 · 117 citations*](https://md.research.elamur.ai/free/en/papers/damonte-2017-incremental-parser-abstract-meaning-representation/)
58. [**LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 112 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/)
59. [**Sentiment Propagation via Implicature Constraints**Lingjia Deng, Janyce Wiebe*2014 · 112 citations*](https://md.research.elamur.ai/free/en/papers/deng-2014-sentiment-propagation-implicature-constraints/)
60. [**Probing for idiomaticity in vector space models**Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al.*2021 · 89 citations*](https://md.research.elamur.ai/free/en/papers/garcia-2021-probing-idiomaticity-vector-space-models/)
61. [**Out-of-domain FrameNet Semantic Role Labeling**Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, et al.*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/hartmann-2017-out-domain-framenet-semantic-role/)
62. [**Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages**Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar*2012 · 81 citations*](https://md.research.elamur.ai/free/en/papers/ferschke-2012-behind-article-recognizing-dialog-acts/)
63. [**A New Entity Salience Task with Millions of Training Examples**Jesse Dunietz, Daniel Gillick*2014 · 80 citations*](https://md.research.elamur.ai/free/en/papers/dunietz-2014-new-entity-salience-task-millions/)
64. [**A Systematic Study of Neural Discourse Models for Implicit Discourse Relation**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/)
65. [**LAraBench: Benchmarking Arabic AI with Large Language Models**Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury, et al.*2024 · 77 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2024-larabench-benchmarking-arabic-ai-large/)
66. [**Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study**Jihen Karoui, Farah Benamara, Véronique Moriceau, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2017-exploring-impact-pragmatic-phenomena-irony/)
67. [**Understanding Transformer Memorization Recall Through Idioms**Adi Haviv, Ido Cohen, Jacob Gidron, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/haviv-2023-understanding-transformer-memorization-recall-through/)
68. [**Remarks on Plural Anaphora**Carola Eschenbach, Christopher Habel, Michael Herweg, et al.*1989 · 55 citations*](https://md.research.elamur.ai/free/en/papers/eschenbach-1989-remarks-plural-anaphora/)
69. [**LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution**Shon Otmazgin, Arie Cattan, Yoav Goldberg*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/otmazgin-2023-lingmess-linguistically-informed-multi-expert/)
70. [**DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/)
71. [**Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR**Juri Opitz, Anette Frank*2021 · 50 citations*](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/)
72. [**Cross-lingual RST Discourse Parsing**Chloé Braud, Maximin Coavoux, Anders Søgaard*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/braud-2017-cross-lingual-rst-discourse-parsing/)
73. [**MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations**Dian Yu, Zhou Yu*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)
74. [**Semantic Role Labeling for Coreference Resolution**Simone Paolo Ponzetto, Michael Strube*2006 · 45 citations*](https://md.research.elamur.ai/free/en/papers/ponzetto-2006-semantic-role-labeling-coreference-resolution/)
75. [**A Hierarchical Neural Model for Learning Sequences of Dialogue Acts**Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari*2017 · 44 citations*](https://md.research.elamur.ai/free/en/papers/tran-2017-hierarchical-neural-model-learning-sequences/)
76. [**Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph**Yin Jou Huang, Sadao Kurohashi*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/)
77. [**Automatic Evaluation and Analysis of Idioms in Neural Machine Translation**Christos Baziotis, Prashant Mathur, Eva Hasler*2023 · 40 citations*](https://md.research.elamur.ai/free/en/papers/baziotis-2023-automatic-evaluation-analysis-idioms-neural/)
78. [**A Few Topical Tweets are Enough for Effective User Stance Detection**Younes Samih, Kareem Darwish*2021 · 40 citations*](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/)
79. [**Frame Semantic Tree Kernels for Social Network Extraction from Text**Apoorv Agarwal, Sriramkumar Balasubramanian, Anup Kotalwar, et al.*2014 · 40 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2014-frame-semantic-tree-kernels-social/)
80. [**Top-down Discourse Parsing via Sequence Labelling**Fajri Koto, Jey Han Lau, Timothy Baldwin*2021 · 37 citations*](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/)
81. [**Resolving Discourse Deictic Anaphora in Dialogues**Miriam Eckert, Michael Strube*1999 · 35 citations*](https://md.research.elamur.ai/free/en/papers/eckert-1999-resolving-discourse-deictic-anaphora-dialogues/)
82. [**Structural Non-Correspondence in Translation**Louisa Sadler, Henry S. Thompson*1991 · 34 citations*](https://md.research.elamur.ai/free/en/papers/sadler-1991-structural-non-correspondence-translation/)
83. [**Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks**Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.*2021 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/)
84. [**ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain**Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/fang-2021-chemu-ref-corpus-modeling-anaphora/)
85. [**A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings**Tom Kwiatkowski, Sharon Goldwater, Luke Zettlemoyer, et al.*2012 · 27 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2012-probabilistic-model-syntactic-semantic-acquisition/)
86. [**Arabic Syntactic Trees: from Constituency to Dependency**Zdenek Zabokrtsky, Otakar Smrz*2003 · 26 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2003-arabic-syntactic-trees-constituency-dependency/)
87. [**On the Need of Cross Validation for Discourse Relation Classification**Wei Shi, Vera Demberg*2017 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/)
88. [**Semitic Morphological Analysis and Generation Using Finite State Transducers with Feature Structures**Michael Gasser*2009 · 25 citations*](https://md.research.elamur.ai/free/en/papers/gasser-2009-semitic-morphological-analysis-generation-finite/)
89. [**Prompt Tuning with Contradictory Intentions for Sarcasm Recognition**Yiyi Liu, Ruqing Zhang, Yixing Fan, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-prompt-tuning-contradictory-intentions-sarcasm/)
90. [**Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity**Yang Janet Liu, Amir Zeldes*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-why-can-t-discourse-parsing/)
91. [**Dialogue Act-based Breakdown Detection in Negotiation Dialogues**Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/)
92. [**Coreference Resolution Evaluation for Higher Level Applications**Don Tuggener*2014 · 23 citations*](https://md.research.elamur.ai/free/en/papers/tuggener-2014-coreference-resolution-evaluation-higher-level/)
93. [**What happens before and after: Multi-Event Commonsense in Event Coreference Resolution**Sahithya Ravi, Chris Tanner, Raymond Ng, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ravi-2023-what-happens-before-after-multi/)
94. [**A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax**Christo Kirov, John Sylak-Glassman, Rebecca Knowles, et al.*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/kirov-2017-rich-morphological-tagger-english-exploring/)
95. [**Unsupervised AMR-Dependency Parse Alignment**Wei-Te Chen, Martha Palmer*2017 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-unsupervised-amr-dependency-parse-alignment/)
96. [**Can we obtain significant success in RST discourse parsing by using Large Language Models?**Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/)
97. [**Ellipsis Resolution as Question Answering: An Evaluation**Rahul Aralikatte, Matthew Lamm, Daniel Hardt, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/aralikatte-2021-ellipsis-resolution-as-question-answering/)
98. [**Alto: Rapid Prototyping for Parsing and Translation**Johannes Gontrum, Jonas Groschwitz, Alexander Koller, et al.*2017 · 18 citations*](https://md.research.elamur.ai/free/en/papers/gontrum-2017-alto-rapid-prototyping-parsing-translation/)
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