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title: "Greater Boston — works, page 2 — Elamur Research"
description: "Works of Greater Boston: 357 in our library · page 2 of 4, the most cited first. Among them: Bayesian Inference for PCFGs via Markov Chain…"
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# Works of Greater Boston

357 · page 2 of 4 · the most cited first · [← Greater Boston](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/)

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101. **[Bayesian Inference for PCFGs via Markov Chain Monte Carlo](https://md.research.elamur.ai/free/en/papers/johnson-2007-bayesian-inference-pcfgs-markov-chain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mark Johnson, Thomas Griffiths, Sharon Goldwater*2007 · 352 citations*
102. [**Reranking and Self-Training for Parser Adaptation**David McClosky, Eugene Charniak, Mark Johnson*2006 · 352 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-reranking-self-training-parser-adaptation/)
103. **[Temporal Annotation in the Clinical Domain](https://md.research.elamur.ai/free/en/papers/iv-2014-temporal-annotation-clinical-domain/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**William F. Styler IV, Steven Bethard, Sean Finan, et al.*2014 · 349 citations*
104. **[Lessons from Natural Language Inference in the Clinical Domain](https://md.research.elamur.ai/free/en/papers/romanov-2018-lessons-natural-language-inference-clinical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexey Romanov, Chaitanya Shivade*2018 · 348 citations*
105. **[Gromov-Wasserstein Alignment of Word Embedding Spaces](https://md.research.elamur.ai/free/en/papers/melis-2018-gromov-wasserstein-alignment-word-embedding/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Alvarez-Melis, Tommi Jaakkola*2018 · 337 citations*
106. **[Predicting Factuality of Reporting and Bias of News Media Sources](https://md.research.elamur.ai/free/en/papers/baly-2018-predicting-factuality-reporting-bias-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.*2018 · 335 citations*
107. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 328 citations*
108. **[Paraphrasing for Automatic Evaluation](https://md.research.elamur.ai/free/en/papers/kauchak-2006-paraphrasing-automatic-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Kauchak, Regina Barzilay*2006 · 323 citations*
109. **[SemEval-2016 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.*2016 · 319 citations*
110. **[Chinese Syntactic Reordering for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2007-chinese-syntactic-reordering-statistical-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chao Wang, Michael Collins, Philipp Koehn*2007 · 314 citations*
111. **[Good-Enough Compositional Data Augmentation](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jacob Andreas*2020 · 307 citations*
112. **[AugGPT: Leveraging ChatGPT for Text Data Augmentation](https://md.research.elamur.ai/free/en/papers/dai-2023-auggpt-leveraging-chatgpt-text-data/) [IEEE Transactions on Big Data](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-big-data/)**Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li*2023 · 306 citations*
113. **[Aligning Sentences in Bilingual Corpora Using Lexical Information](https://md.research.elamur.ai/free/en/papers/chen-1993-aligning-sentences-bilingual-corpora-lexical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stanley F. Chen*1993 · 299 citations*
114. **[Bayesian Unsupervised Topic Segmentation](https://md.research.elamur.ai/free/en/papers/eisenstein-2008-bayesian-unsupervised-topic-segmentation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jacob Eisenstein, Regina Barzilay*2008 · 297 citations*
115. **[Towards Debiasing Fact Verification Models](https://md.research.elamur.ai/free/en/papers/schuster-2019-debiasing-fact-verification-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.*2019 · 296 citations*
116. **[Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-alignment-contextual-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tal Schuster, Ori Ram, Regina Barzilay, et al.*2019 · 295 citations*
117. **[A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature](https://md.research.elamur.ai/free/en/papers/nye-2018-corpus-multi-level-annotations-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benjamin Nye, Junyi Jessy Li, Roma Patel, et al.*2018 · 294 citations*
118. **[Centering: A Parametric Theory and Its Instantiations](https://md.research.elamur.ai/free/en/papers/poesio-2004-centering-parametric-theory-its-instantiations/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Massimo Poesio, Rosemary Stevenson, Barbara Di Eugenio, et al.*2004 · 293 citations*
119. **[Neural language models as psycholinguistic subjects: Representations of syntactic state](https://md.research.elamur.ai/free/en/papers/futrell-2019-neural-language-models-as-psycholinguistic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2019 · 291 citations*
120. **[HAT: Hardware-Aware Transformers for Efficient Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2020-hat-hardware-aware-transformers-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.*2020 · 290 citations*
121. **[Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tal Schuster, Adam Fisch, Regina Barzilay*2021 · 289 citations*
122. **[emrQA: A Large Corpus for Question Answering on Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 288 citations*
123. [**From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference arXiv:2310.03003**Siddharth Samsi, Dan Zhao, Joseph McDonald, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/samsi-2023-words-watts-benchmarking-energy-costs/)
124. [**Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation**Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, et al.*2014 · 284 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/)
125. **[Learning Neural Templates for Text Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 280 citations*
126. [**Larger language models do in-context learning differently arXiv:2303.03846**Jerry Wei, Jason Wei, Yi Tay, et al.*2023 · 279 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-larger-language-models-context-learning/)
127. [**What do RNN Language Models Learn about Filler-Gap Dependencies? arXiv:1809.00042**Ethan Wilcox, Roger Levy, Takashi Morita, et al.*2018 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2018-rnn-language-models-learn-about/)
128. **[Minimum Cut Model for Spoken Lecture Segmentation](https://md.research.elamur.ai/free/en/papers/malioutov-2006-minimum-cut-model-spoken-lecture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Igor Malioutov, Regina Barzilay*2006 · 270 citations*
129. **[CorMet: A Computational, Corpus-Based Conventional Metaphor Extraction System](https://md.research.elamur.ai/free/en/papers/mason-2004-cormet-computational-corpus-based-conventional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Zachary J. Mason*2004 · 270 citations*
130. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*2022 · 269 citations*
131. [**LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models arXiv:2309.12307**Yukang Chen, Shengju Qian, Haotian Tang, et al.*2023 · 265 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-longlora-efficient-fine-tuning-long/)
132. **[SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 264 citations*
133. **[Learning Global Features for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wiseman-2016-learning-global-features-coreference-resolution/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sam Wiseman, Alexander M. Rush, Stuart M. Shieber*2016 · 264 citations*
134. [**DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models arXiv:2309.03883**Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/chuang-2023-dola-decoding-contrasting-layers-improves/)
135. **[Findings of the VarDial Evaluation Campaign 2017](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*
136. **[Collective Content Selection for Concept-to-Text Generation](https://md.research.elamur.ai/free/en/papers/barzilay-2005-collective-content-selection-concept-text/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Regina Barzilay, Mirella Lapata*2005 · 260 citations*
137. **[A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification](https://md.research.elamur.ai/free/en/papers/zhang-2017-sensitivity-analysis-practitioners-guide-convolutional/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Ye Zhang, Byron Wallace*2017 · 259 citations*
138. **[SIMPLE: A General Framework for the Development of Multilingual Lexicons](https://md.research.elamur.ai/free/en/papers/bel-2000-simple-general-framework-development-multilingual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nuria Bel, Federica Busa, Nicoletta Calzolari, et al.*2000 · 250 citations*
139. **[Phrasal Cohesion and Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/fox-2002-phrasal-cohesion-statistical-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Heidi Fox*2002 · 250 citations*
140. **[Fast and Accurate Shift-Reduce Constituent Parsing](https://md.research.elamur.ai/free/en/papers/zhu-2013-fast-accurate-shift-reduce-constituent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Muhua Zhu, Yue Zhang, Wenliang Chen, et al.*2013 · 249 citations*
141. **[Learning Context-Dependent Mappings from Sentences to Logical Form](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*
142. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model arXiv:2402.07827**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
143. **[Estimators for Stochastic “Unification-Based” Grammars](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mark Johnson, Stuart Geman, Stephen Canon, et al.*1999 · 244 citations*
144. [**Multimodal Few-Shot Learning with Frozen Language Models arXiv:2106.13884**Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.*2021 · 243 citations*](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/)
145. **[On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/rush-2010-dual-decomposition-linear-programming-relaxations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexander M. Rush, David Sontag, Michael Collins, et al.*2010 · 239 citations*
146. **[Selective Sharing for Multilingual Dependency Parsing](https://md.research.elamur.ai/free/en/papers/naseem-2012-selective-sharing-multilingual-dependency-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tahira Naseem, Regina Barzilay, Amir Globerson*2012 · 237 citations*
147. [**Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey arXiv:2403.14608**Zeyu Han, Chao Gao, Jinyang Liu, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/)
148. **[Entropy Rate Constancy in Text](https://md.research.elamur.ai/free/en/papers/genzel-2002-entropy-rate-constancy-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dmitriy Genzel, Eugene Charniak*2002 · 235 citations*
149. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*
150. **[BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization](https://md.research.elamur.ai/free/en/papers/sharma-2019-bigpatent-large-scale-dataset-abstractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eva Sharma, Chen Li, Lu Wang*2019 · 235 citations*
151. **[Improving Statistical MT through Morphological Analysis](https://md.research.elamur.ai/free/en/papers/goldwater-2005-improving-statistical-mt-through-morphological/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Sharon Goldwater, David McClosky*2005 · 233 citations*
152. **[Edit Detection and Parsing for Transcribed Speech](https://md.research.elamur.ai/free/en/papers/charniak-2001-edit-detection-parsing-transcribed-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Eugene Charniak, Mark Johnson*2001 · 229 citations*
153. **[Automatic Domain Adaptation for Parsing](https://md.research.elamur.ai/free/en/papers/mcclosky-2010-automatic-domain-adaptation-parsing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David McClosky, Eugene Charniak, Mark Johnson*2010 · 228 citations*
154. [**TrustLLM: Trustworthiness in Large Language Models arXiv:2401.05561**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
155. [**What learning algorithm is in-context learning? Investigations with linear models arXiv:2211.15661**Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.*2022 · 225 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2022-learning-algorithm-context-learning-investigations/)
156. **[Learning to Faithfully Rationalize by Construction](https://md.research.elamur.ai/free/en/papers/jain-2020-learning-faithfully-rationalize-construction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.*2020 · 223 citations*
157. **[MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Guido Zarrella, Amy Marsh*2016 · 223 citations*
158. **[Unsupervised Multilingual Learning for Morphological Segmentation](https://md.research.elamur.ai/free/en/papers/snyder-2008-unsupervised-multilingual-learning-morphological-segmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benjamin Snyder, Regina Barzilay*2008 · 221 citations*
159. [**Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models arXiv:2405.01535**Seungone Kim, Juyoung Suk, Shayne Longpre, et al.*2024 · 220 citations*](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/)
160. **[SciREX: A Challenge Dataset for Document-Level Information Extraction](https://md.research.elamur.ai/free/en/papers/jain-2020-scirex-challenge-dataset-document-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, et al.*2020 · 218 citations*
161. **[What Happens To BERT Embeddings During Fine-tuning?](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.*2020 · 218 citations*
162. [**FOLIO: Natural Language Reasoning with First-Order Logic arXiv:2209.00840**Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al.*2022 · 217 citations*](https://md.research.elamur.ai/free/en/papers/han-2022-folio-natural-language-reasoning-first/)
163. **[Why Doesn't EM Find Good HMM POS-Taggers?](https://md.research.elamur.ai/free/en/papers/johnson-2007-why-doesn-t-em-find/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mark Johnson*2007 · 217 citations*
164. **[Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 217 citations*
165. **[Are You Sure That This Happened? Assessing the Factuality Degree of Events in Text](https://md.research.elamur.ai/free/en/papers/sauri-2012-are-you-sure-that-this/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Roser Saurí, James Pustejovsky*2012 · 217 citations*
166. **[Structured Relation Discovery using Generative Models](https://md.research.elamur.ai/free/en/papers/yao-2011-structured-relation-discovery-generative-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Limin Yao, Aria Haghighi, Sebastian Riedel, et al.*2011 · 216 citations*
167. **[Systematic Inequalities in Language Technology Performance across the World's Languages](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 214 citations*
168. [**Nonliteral understanding of number words**Justine T. Kao, Jean Y. Wu, Leon Bergen, et al.*2014 · 213 citations*](https://md.research.elamur.ai/free/en/papers/kao-2014-nonliteral-understanding-number-words/)
169. **[A Generative Model for Parsing Natural Language to Meaning Representations](https://md.research.elamur.ai/free/en/papers/lu-2008-generative-model-parsing-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Lu, Hwee Tou Ng, Wee Sun Lee, et al.*2008 · 210 citations*
170. **[The CoNLL-2015 Shared Task on Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2015 · 210 citations*
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