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# Works of Canada

259 · page 2 of 3 · the most cited first · [← Canada](https://md.research.elamur.ai/free/en/countries/canada/)

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101. [**Metaphor as a Medium for Emotion: An Empirical Study**Saif Mohammad, Ekaterina Shutova, Peter Turney*2016 · 285 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-metaphor-as-medium-emotion-empirical/)
102. [**Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation**Svetlana Kiritchenko, Saif Mohammad*2017 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2017-best-worst-scaling-more-reliable/)
103. [**A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU**Boxing Chen, Colin Cherry*2014 · 281 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-systematic-comparison-smoothing-techniques-sentence/)
104. [**Similarity of Semantic Relations**Peter D. Turney*2006 · 277 citations*](https://md.research.elamur.ai/free/en/papers/turney-2006-similarity-semantic-relations/)
105. [**Llemma: An Open Language Model For Mathematics**Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.*2023 · 275 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-llemma-open-language-model-mathematics/)
106. [**Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion**Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sherif*2007 · 274 citations*](https://md.research.elamur.ai/free/en/papers/jiampojamarn-2007-applying-many-many-alignments-hidden/)
107. [**met*: A Method for Discriminating Metonymy and Metaphor by Computer**Dan Fass*1991 · 269 citations*](https://md.research.elamur.ai/free/en/papers/fass-1991-met-method-discriminating-metonymy-metaphor/)
108. [**A Challenge Set Approach to Evaluating Machine Translation**Pierre Isabelle, Colin Cherry, George Foster*2017 · 269 citations*](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/)
109. [**Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages**Kelechi Ogueji, Yuxin Zhu, Jimmy Lin*2021 · 265 citations*](https://md.research.elamur.ai/free/en/papers/ogueji-2021-small-data-no-problem-exploring/)
110. [**Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2022 · 263 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/)
111. [**CODRA: A Novel Discriminative Framework for Rhetorical Analysis**Shafiq Joty, Giuseppe Carenini, Raymond T. Ng*2015 · 263 citations*](https://md.research.elamur.ai/free/en/papers/joty-2015-codra-novel-discriminative-framework-rhetorical/)
112. [**Abstractive Summarization of Product Reviews Using Discourse Structure**Shima Gerani, Yashar Mehdad, Giuseppe Carenini, et al.*2014 · 260 citations*](https://md.research.elamur.ai/free/en/papers/gerani-2014-abstractive-summarization-product-reviews-discourse/)
113. [**On Extractive and Abstractive Neural Document Summarization with Transformer Language Models**Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/pilault-2020-extractive-abstractive-neural-document-summarization/)
114. [**Fine-Tuning LLaMA for Multi-Stage Text Retrieval**Xueguang Ma, Liang Wang, Nan Yang, et al.*2023 · 254 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-fine-tuning-llama-multi-stage/)
115. [**A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing**Vanessa Wei Feng, Graeme Hirst*2014 · 250 citations*](https://md.research.elamur.ai/free/en/papers/feng-2014-linear-time-bottom-up-discourse/)
116. [**The Curse of Recursion: Training on Generated Data Makes Models Forget**Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.*2023 · 250 citations*](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/)
117. [**Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 244 citations*](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/)
118. [**Automatic Detection of Machine Generated Text: A Critical Survey**Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.*2020 · 243 citations*](https://md.research.elamur.ai/free/en/papers/jawahar-2020-automatic-detection-machine-generated-text/)
119. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
120. [**Learning to Understand Phrases by Embedding the Dictionary**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/)
121. [**Evaluating Open-Domain Question Answering in the Era of Large Language Models**Ehsan Kamalloo, Nouha Dziri, Charles Clarke, et al.*2023 · 233 citations*](https://md.research.elamur.ai/free/en/papers/kamalloo-2023-evaluating-open-domain-question-answering/)
122. [**Factual Error Correction for Abstractive Summarization Models**Meng Cao, Yue Dong, Jiapeng Wu, et al.*2020 · 217 citations*](https://md.research.elamur.ai/free/en/papers/cao-2020-factual-error-correction-abstractive-summarization/)
123. [**Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis**Shafiq Joty, Giuseppe Carenini, Raymond Ng, et al.*2013 · 217 citations*](https://md.research.elamur.ai/free/en/papers/joty-2013-combining-intra-multi-sentential-rhetorical/)
124. [**An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models**Nicholas Meade, Elinor Poole-Dayan, Siva Reddy*2022 · 211 citations*](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/)
125. [**Text-level Discourse Parsing with Rich Linguistic Features**Vanessa Wei Feng, Graeme Hirst*2012 · 208 citations*](https://md.research.elamur.ai/free/en/papers/feng-2012-text-level-discourse-parsing-rich/)
126. [**On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?**Nouha Dziri, Sivan Milton, Mo Yu, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/)
127. [**EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty**Yuhui Li, Fangyun Wei, Chao Zhang, et al.*2024 · 204 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-speculative-sampling-requires-rethinking/)
128. [**PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization**Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/)
129. [**Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning**Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.*2024 · 202 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/)
130. [**AraT5: Text-to-Text Transformers for Arabic Language Generation**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 201 citations*](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/)
131. [**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/)
132. [**A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 198 citations*](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/)
133. [**Improving Passage Retrieval with Zero-Shot Question Generation**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 197 citations*](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/)
134. [**Paraphrasing for Style**Wei Xu, Alan Ritter, Bill Dolan, et al.*2012 · 196 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/)
135. [**Bootstrapping Path-Based Pronoun Resolution**Shane Bergsma, Dekang Lin*2006 · 193 citations*](https://md.research.elamur.ai/free/en/papers/bergsma-2006-bootstrapping-path-based-pronoun-resolution/)
136. [**Exploring and Predicting Transferability across NLP Tasks**Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.*2020 · 192 citations*](https://md.research.elamur.ai/free/en/papers/vu-2020-exploring-predicting-transferability-across-nlp/)
137. [**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/)
138. [**Large Language Models are few(1)-shot Table Reasoners**Wenhu Chen*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-large-language-models-are-few/)
139. [**Representation Degeneration Problem in Training Natural Language Generation Models**Jun Gao, Di He, Xu Tan, et al.*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)
140. [**Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation**Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/)
141. [**On the Risk of Misinformation Pollution with Large Language Models**Yikang Pan, Liangming Pan, Wenhu Chen, et al.*2023 · 177 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-risk-misinformation-pollution-large-language/)
142. [**Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages**Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/)
143. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
144. [**P-Stance: A Large Dataset for Stance Detection in Political Domain**Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/)
145. [**Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization**Meng Cao, Yue Dong, Jackie Cheung*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/cao-2022-hallucinated-but-factual-inspecting-factuality/)
146. [**Binding Language Models in Symbolic Languages**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 165 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/)
147. [**Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models**Bofei Gao, Feifan Song, Zhe Yang, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/)
148. [**LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding**Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.*2024 · 155 citations*](https://md.research.elamur.ai/free/en/papers/elhoushi-2024-layerskip-enabling-early-exit-inference/)
149. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
150. [**GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval**Kexin Wang, Nandan Thakur, Nils Reimers, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-gpl-generative-pseudo-labeling-unsupervised/)
151. [**TheoremQA: A Theorem-driven Question Answering Dataset**Wenhu Chen, Ming Yin, Max Ku, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-theoremqa-theorem-driven-question-answering/)
152. [**SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training**Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.*2025 · 151 citations*](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/)
153. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/)
154. [**The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models**Junyi Li, Jie Chen, Ruiyang Ren, et al.*2024 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/)
155. [**MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages**Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.*2023 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-miracl-multilingual-retrieval-dataset-covering/)
156. [**Generative Verifiers: Reward Modeling as Next-Token Prediction**Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-generative-verifiers-reward-modeling-as/)
157. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/)
158. [**Affective and Contextual Embedding for Sarcasm Detection**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/)
159. [**Long-context LLMs Struggle with Long In-context Learning**Tianle Li, Ge Zhang, Quy Duc Do, et al.*2024 · 132 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-long-context-llms-struggle-long/)
160. [**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/)
161. [**EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees**Yuhui Li, Fangyun Wei, Chao Zhang, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-2-faster-inference-language/)
162. [**OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text**Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/paster-2023-openwebmath-open-dataset-high-quality/)
163. [**UniMorph 3.0: Universal Morphology**Arya D. McCarthy, Christo Kirov, Matteo Grella, et al.*2020 · 122 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-unimorph-3-0-universal-morphology/)
164. [**Transformer-Patcher: One Mistake worth One Neuron**Zeyu Huang, Yikang Shen, Xiaofeng Zhang, et al.*2023 · 120 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-transformer-patcher-one-mistake-worth/)
165. [**Speech Acts and Rationality**Philip R. Cohen, Hector J. Levesque*1985 · 117 citations*](https://md.research.elamur.ai/free/en/papers/cohen-1985-speech-acts-rationality/)
166. [**WikiCoref: An English Coreference-annotated Corpus of Wikipedia Articles**Abbas Ghaddar, Phillippe Langlais*2016 · 116 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-wikicoref-english-coreference-annotated-corpus/)
167. [**The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration**Arya D. McCarthy, Rachel Wicks, Dylan Lewis, et al.*2020 · 115 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-johns-hopkins-university-bible-corpus/)
168. [**MorphoLex: A derivational morphological database for 70,000 English words**Claudia H. Sánchez-Gutiérrez, Hugo Mailhot, S. Hélène Deacon, et al.*2018 · 115 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2018-sanchezgutierrez-morpholex/)
169. [**Word Affect Intensities**Saif Mohammad*2018 · 114 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/)
170. [**V-STaR: Training Verifiers for Self-Taught Reasoners**Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2024-v-star-training-verifiers-self/)
171. [**Olmo 3**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
172. [**The Repair of Speech Act Misunderstandings by Abductive Inference**Susan W. McRoy, Graeme Hirst*1995 · 109 citations*](https://md.research.elamur.ai/free/en/papers/mcroy-1995-repair-speech-act-misunderstandings-abductive/)
173. [**Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/)
174. [**Measuring Machine Translation Errors in New Domains**Ann Irvine, John Morgan, Marine Carpuat, et al.*2013 · 104 citations*](https://md.research.elamur.ai/free/en/papers/irvine-2013-measuring-machine-translation-errors-new/)
175. [**An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words**Patrick Pantel, Dekang Lin*2000 · 103 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2000-unsupervised-approach-prepositional-phrase-attachment/)
176. [**It's not Rocket Science: Interpreting Figurative Language in Narratives**Tuhin Chakrabarty, Yejin Choi, Vered Shwartz*2022 · 91 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-it-s-not-rocket-science/)
177. [**Arabic Fake News Detection Based on Deep Contextualized Embedding Models**Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.*2022 · 90 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2022-arabic-fake-news-detection-based/)
178. [**Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization**Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup*2018 · 87 citations*](https://md.research.elamur.ai/free/en/papers/dean-2018-resolving-event-coreference-supervised-representation/)
179. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
180. [**MEANT 2.0: Accurate semantic MT evaluation for any output language**Chi-kiu Lo*2017 · 81 citations*](https://md.research.elamur.ai/free/en/papers/lo-2017-meant-2-0-accurate-semantic/)
181. [**Anaphora Resolution with the ARRAU Corpus**Massimo Poesio, Yulia Grishina, Varada Kolhatkar, et al.*2018 · 81 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2018-anaphora-resolution-arrau-corpus/)
182. [**Annotation upon Annotation: Adding Signalling Information to a Corpus of Discourse Relations**Maite Taboada, Debopam Das*2013 · 81 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2013-annotation-upon-annotation-adding-signalling/)
183. [**The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution**Ali Emami, Paul Trichelair, Adam Trischler, et al.*2019 · 73 citations*](https://md.research.elamur.ai/free/en/papers/emami-2019-knowref-coreference-corpus-removing-gender/)
184. [**Using the Web in Machine Learning for Other-Anaphora Resolution**Natalia N. Modjeska, Katja Markert, Malvina Nissim*2003 · 70 citations*](https://md.research.elamur.ai/free/en/papers/modjeska-2003-web-machine-learning-other-anaphora/)
185. [**Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure**Kelsey Allen, Giuseppe Carenini, Raymond Ng*2014 · 60 citations*](https://md.research.elamur.ai/free/en/papers/allen-2014-detecting-disagreement-conversations-pseudo-monologic/)
186. [**TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties**Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.*2023 · 60 citations*](https://md.research.elamur.ai/free/en/papers/kadaoui-2023-tarjamat-evaluation-bard-chatgpt-machine/)
187. [**LegalAgentBench: Evaluating LLM Agents in Legal Domain**Haitao Li, Junjie Chen, Jingli Yang, et al.*2025 · 60 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-legalagentbench-evaluating-llm-agents-legal/)
188. [**Dialogue Act Recognition in Synchronous and Asynchronous Conversations**Maryam Tavafi, Yashar Mehdad, Shafiq Joty, et al.*2013 · 60 citations*](https://md.research.elamur.ai/free/en/papers/tavafi-2013-dialogue-act-recognition-synchronous-asynchronous/)
189. [**Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey**Varada Kolhatkar, Adam Roussel, Stefanie Dipper, et al.*2018 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/)
190. [**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/)
191. [**AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking**Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, et al.*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/alhindi-2021-arastance-multi-country-multi-domain/)
192. [**Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis**Bita Nejat, Giuseppe Carenini, Raymond Ng*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/nejat-2017-exploring-joint-neural-model-sentence/)
193. [**MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision**Patrick Huber, Giuseppe Carenini*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/)
194. [**Coreference for Discourse Parsing: A Neural Approach**Grigorii Guz, Giuseppe Carenini*2020 · 31 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-coreference-discourse-parsing-neural-approach/)
195. [**Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach**Tatsuro Oya, Giuseppe Carenini*2014 · 31 citations*](https://md.research.elamur.ai/free/en/papers/oya-2014-extractive-summarization-dialogue-act-modeling/)
196. [**Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data**Varada Kolhatkar, Heike Zinsmeister, Graeme Hirst*2013 · 29 citations*](https://md.research.elamur.ai/free/en/papers/kolhatkar-2013-interpreting-anaphoric-shell-nouns-antecedents/)
197. [**Inducing Discourse Connectives from Parallel Texts**Majid Laali, Leila Kosseim*2014 · 29 citations*](https://md.research.elamur.ai/free/en/papers/laali-2014-inducing-discourse-connectives-parallel-texts/)
198. [**MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response**Zihao Deng, Yinghao Ma, Yudong Liu, et al.*2024 · 27 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/)
199. [**The Good, the Bad, and the Disagreement: Complex ground truth in rhetorical structure analysis**Debopam Das, Manfred Stede, Maite Taboada*2017 · 24 citations*](https://md.research.elamur.ai/free/en/papers/das-2017-good-bad-disagreement-complex-ground/)
200. [**Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms**Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup*2016 · 24 citations*](https://md.research.elamur.ai/free/en/papers/dean-2016-verb-phrase-ellipsis-resolution-discriminative/)

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