---
title: "Language and Linguistics — papers, page 12 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 12 of 93 · 1026–1125, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 12 of 93 · 1026–1125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers (9,206)

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1026. [**Demographic Dialectal Variation in Social Media: A Case Study of African-American English**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 471 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/)
1027. [**Extracting Semantic Orientations of Words using Spin Model**Hiroya Takamura, Takashi Inui, Manabu Okumura*2005 · 471 citations*](https://md.research.elamur.ai/free/en/papers/takamura-2005-extracting-semantic-orientations-words-spin/)
1028. [**Data Augmentation using Pre-trained Transformer Models**Varun Kumar, Ashutosh Choudhary, Eunah Cho*2020 · 470 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2020-data-augmentation-using-pre-trained/)
1029. [**The ICSI Meeting Recorder Dialog Act (MRDA) Corpus**Elizabeth Shriberg, Raj Dhillon, Sonali Bhagat, et al.*2004 · 470 citations*](https://md.research.elamur.ai/free/en/papers/shriberg-2004-icsi-meeting-recorder-dialog-act/)
1030. [**PPT: Pre-trained Prompt Tuning for Few-shot Learning**Yuxian Gu, Xu Han, Zhiyuan Liu, et al.*2022 · 469 citations*](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/)
1031. [**Large Language Models: A Survey**Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.*2024 · 468 citations*](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/)
1032. [**Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT**Shijie Wu, Mark Dredze*2019 · 468 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-beto-bentz-becas-surprising-cross/)
1033. [**When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 468 citations*](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/)
1034. [**Controlling Politeness in Neural Machine Translation via Side Constraints**Rico Sennrich, Barry Haddow, Alexandra Birch*2016 · 468 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-controlling-politeness-neural-machine-translation/)
1035. [**Evaluating Large Language Models in Theory of Mind Tasks**Michal Kosinski*2023 · 467 citations*](https://md.research.elamur.ai/free/en/papers/kosinski-2023-evaluating-large-language-models-theory/)
1036. [**SemEval-2018 Task 3: Irony Detection in English Tweets**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 467 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/)
1037. [**BootCaT: Bootstrapping Corpora and Terms from the Web**Marco Baroni, Silvia Bernardini*2004 · 467 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2004-bootcat-bootstrapping-corpora-terms-web/)
1038. [**Hierarchical Transformers for Multi-Document Summarization**Yang Liu, Mirella Lapata*2019 · 466 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-hierarchical-transformers-multi-document-summarization/)
1039. [**End-to-end learning of semantic role labeling using recurrent neural networks**Jie Zhou, Wei Xu*2015 · 466 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2015-end-end-learning-semantic-role/)
1040. [**Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 466 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/)
1041. [**GermaNet - a Lexical-Semantic Net for German**Birgit Hamp, Helmut Feldweg*1997 · 466 citations*](https://md.research.elamur.ai/free/en/papers/hamp-1997-germanet-lexical-semantic-net-german/)
1042. [**XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning**Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.*2020 · 465 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2020-xcopa-multilingual-dataset-causal-commonsense/)
1043. [**The E2E Dataset: New Challenges For End-to-End Generation**Jekaterina Novikova, Ondřej Dušek, Verena Rieser*2017 · 465 citations*](https://md.research.elamur.ai/free/en/papers/novikova-2017-e2e-dataset-new-challenges-end/)
1044. [**Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus**Yuk Wah Wong, Raymond Mooney*2007 · 465 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/)
1045. [**P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2021 · 464 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/)
1046. [**Joint Embedding of Words and Labels for Text Classification**Guoyin Wang, Chunyuan Li, Wenlin Wang, et al.*2018 · 464 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-joint-embedding-words-labels-text/)
1047. [**Word-Sense Disambiguation Using Statistical Methods**Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, et al.*1991 · 464 citations*](https://md.research.elamur.ai/free/en/papers/brown-1991-word-sense-disambiguation-statistical-methods/)
1048. [**Deep Reinforcement Learning for Mention-Ranking Coreference Models**Kevin Clark, Christopher D. Manning*2016 · 463 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/)
1049. [**CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 462 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/)
1050. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 462 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
1051. [**A non-projective dependency parser**Pasi Tapanainen, Timo Jarvinen*1997 · 462 citations*](https://md.research.elamur.ai/free/en/papers/tapanainen-1997-non-projective-dependency-parser/)
1052. [**Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation**Dawei Gao, Haibin Wang, Yaliang Li, et al.*2023 · 461 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/)
1053. [**From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers**Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.*2020 · 461 citations*](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/)
1054. [**A Persona-Based Neural Conversation Model**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 461 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/)
1055. [**Distributional Semantics in Technicolor**Elia Bruni, Gemma Boleda, Marco Baroni, et al.*2012 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bruni-2012-distributional-semantics-technicolor/)
1056. [**Automatic Evaluation of Translation Quality for Distant Language Pairs**Hideki Isozaki, Tsutomu Hirao, Kevin Duh, et al.*2010 · 461 citations*](https://md.research.elamur.ai/free/en/papers/isozaki-2010-automatic-evaluation-translation-quality-distant/)
1057. [**Pseudo-Projective Dependency Parsing**Joakim Nivre, Jens Nilsson*2005 · 461 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2005-pseudo-projective-dependency-parsing/)
1058. [**SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles**Su Nam Kim, Olena Medelyan, Min-Yen Kan, et al.*2010 · 460 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-semeval-2010-task-5-automatic/)
1059. [**Are All Languages Created Equal in Multilingual BERT?**Shijie Wu, Mark Dredze*2020 · 458 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-are-all-languages-created-equal/)
1060. [**Graph-to-Sequence Learning using Gated Graph Neural Networks**Daniel Beck, Gholamreza Haffari, Trevor Cohn*2018 · 458 citations*](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/)
1061. [**Emergent: a novel data-set for stance classification**William Ferreira, Andreas Vlachos*2016 · 458 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2016-emergent-novel-data-set-stance/)
1062. [**Knowledge Graph and Text Jointly Embedding**Zhen Wang, Jianwen Zhang, Jianlin Feng, et al.*2014 · 457 citations*](https://md.research.elamur.ai/free/en/papers/wang-2014-knowledge-graph-text-jointly-embedding/)
1063. [**LinkBERT: Pretraining Language Models with Document Links**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 456 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/)
1064. [**Learning Semantic Correspondences with Less Supervision**Percy Liang, Michael Jordan, Dan Klein*2009 · 456 citations*](https://md.research.elamur.ai/free/en/papers/liang-2009-learning-semantic-correspondences-less-supervision/)
1065. [**Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System**Jost Schatzmann, Blaise Thomson, Karl Weilhammer, et al.*2007 · 456 citations*](https://md.research.elamur.ai/free/en/papers/schatzmann-2007-agenda-based-user-simulation-bootstrapping/)
1066. [**Discourse Segmentation of Multi-Party Conversation**Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.*2003 · 455 citations*](https://md.research.elamur.ai/free/en/papers/galley-2003-discourse-segmentation-multi-party-conversation/)
1067. [**MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2022 · 454 citations*](https://md.research.elamur.ai/free/en/papers/pal-2022-medmcqa-large-scale-multi-subject/)
1068. [**Exploring Pre-trained Language Models for Event Extraction and Generation**Sen Yang, Dawei Feng, Linbo Qiao, et al.*2019 · 454 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-exploring-pre-trained-language-models/)
1069. [**Meta-Learning for Low-Resource Neural Machine Translation**Jiatao Gu, Yong Wang, Yun Chen, et al.*2018 · 454 citations*](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/)
1070. [**Deep Keyphrase Generation**Rui Meng, Sanqiang Zhao, Shuguang Han, et al.*2017 · 454 citations*](https://md.research.elamur.ai/free/en/papers/meng-2017-deep-keyphrase-generation/)
1071. [**Bilingual Word Representations with Monolingual Quality in Mind**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 454 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-bilingual-word-representations-monolingual-quality/)
1072. [**Tree-to-String Alignment Template for Statistical Machine Translation**Yang Liu, Qun Liu, Shouxun Lin*2006 · 454 citations*](https://md.research.elamur.ai/free/en/papers/liu-2006-tree-string-alignment-template-statistical/)
1073. [**Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora**Dekai Wu*1997 · 454 citations*](https://md.research.elamur.ai/free/en/papers/wu-1997-stochastic-inversion-transduction-grammars-bilingual/)
1074. [**ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training**Weizhen Qi, Yu Yan, Yeyun Gong, et al.*2020 · 453 citations*](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/)
1075. [**Show your work: Scratchpads for intermediate computation with language models***2021 · 452 citations*](https://md.research.elamur.ai/free/en/papers/al-2021-show-your-work-scratchpads-intermediate/)
1076. [**Forest Rescoring: Faster Decoding with Integrated Language Models**Liang Huang, David Chiang*2007 · 452 citations*](https://md.research.elamur.ai/free/en/papers/huang-2007-forest-rescoring-faster-decoding-integrated/)
1077. [**Monolingual Machine Translation for Paraphrase Generation**Chris Quirk, Chris Brockett, William Dolan*2004 · 452 citations*](https://md.research.elamur.ai/free/en/papers/quirk-2004-monolingual-machine-translation-paraphrase-generation/)
1078. [**Inherent Disagreements in Human Textual Inferences**Ellie Pavlick, Tom Kwiatkowski*2019 · 451 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)
1079. [**SVMTool: A general POS Tagger Generator Based on Support Vector Machines**Jesús Giménez, Lluís Màrquez*2004 · 451 citations*](https://md.research.elamur.ai/free/en/papers/gimenez-2004-svmtool-general-pos-tagger-generator/)
1080. [**Large language models are few-shot clinical information extractors**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 450 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)
1081. [**HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization**Xingxing Zhang, Furu Wei, Ming Zhou*2019 · 450 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/)
1082. [**Neural Document Summarization by Jointly Learning to Score and Select Sentences**Qingyu Zhou, Nan Yang, Furu Wei, et al.*2018 · 450 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-neural-document-summarization-jointly-learning/)
1083. [**Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks**Hua He, Kevin Gimpel, Jimmy Lin*2015 · 450 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/)
1084. [**Automatic Detection of Causal Relations for Question Answering**Roxana Girju*2003 · 450 citations*](https://md.research.elamur.ai/free/en/papers/girju-2003-automatic-detection-causal-relations-question/)
1085. [**A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts**Michael Thelen, Ellen Riloff*2002 · 449 citations*](https://md.research.elamur.ai/free/en/papers/thelen-2002-bootstrapping-method-learning-semantic-lexicons/)
1086. [**OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems**Chaoqun He, Renjie Luo, Yuzhuo Bai, et al.*2024 · 448 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-olympiadbench-challenging-benchmark-promoting-agi/)
1087. [**LLM-Pruner: On the Structural Pruning of Large Language Models**Xinyin Ma, Gongfan Fang, Xinchao Wang*2023 · 448 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-llm-pruner-structural-pruning-large/)
1088. [**OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs**Seungwhan Moon, Pararth Shah, Anuj Kumar, et al.*2019 · 448 citations*](https://md.research.elamur.ai/free/en/papers/moon-2019-opendialkg-explainable-conversational-reasoning-attention/)
1089. [**Context-Aware Neural Machine Translation Learns Anaphora Resolution**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 448 citations*](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/)
1090. [**Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets**Julia Kreutzer, Isaac Caswell, Lisa Wang, et al.*2021 · 447 citations*](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/)
1091. [**Reading Level Assessment Using Support Vector Machines and Statistical Language Models**Sarah Schwarm, Mari Ostendorf*2005 · 447 citations*](https://md.research.elamur.ai/free/en/papers/schwarm-2005-reading-level-assessment-support-vector/)
1092. [**GeDi: Generative Discriminator Guided Sequence Generation**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.*2021 · 446 citations*](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/)
1093. [**FreeLB: Enhanced Adversarial Training for Natural Language Understanding**Chen Zhu, Yu Cheng, Zhe Gan, et al.*2019 · 446 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2019-freelb-enhanced-adversarial-training-natural/)
1094. [**Modeling Joint Entity and Relation Extraction with Table Representation**Makoto Miwa, Yutaka Sasaki*2014 · 446 citations*](https://md.research.elamur.ai/free/en/papers/miwa-2014-modeling-joint-entity-relation-extraction/)
1095. [**A Multi-Pass Sieve for Coreference Resolution**Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, et al.*2010 · 446 citations*](https://md.research.elamur.ai/free/en/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)
1096. [**Contrastive Estimation: Training Log-Linear Models on Unlabeled Data**Noah A. Smith, Jason Eisner*2005 · 446 citations*](https://md.research.elamur.ai/free/en/papers/smith-2005-contrastive-estimation-training-log-linear/)
1097. [**FinGPT: Open-Source Financial Large Language Models**Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang*2023 · 445 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-fingpt-open-source-financial-large/)
1098. [**Masked Language Model Scoring**Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.*2020 · 445 citations*](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/)
1099. [**Finding Predominant Word Senses in Untagged Text**Diana McCarthy, Rob Koeling, Julie Weeds, et al.*2004 · 445 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2004-finding-predominant-word-senses-untagged/)
1100. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/)
1101. [**Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/)
1102. [**Pretrained Transformers Improve Out-of-Distribution Robustness**Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.*2020 · 443 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/)
1103. [**Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation**Samuel Läubli, Rico Sennrich, Martin Volk*2018 · 443 citations*](https://md.research.elamur.ai/free/en/papers/laubli-2018-has-machine-translation-achieved-human/)
1104. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 443 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
1105. [**Paraphrase-Driven Learning for Open Question Answering**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2013 · 443 citations*](https://md.research.elamur.ai/free/en/papers/fader-2013-paraphrase-driven-learning-open-question/)
1106. [**SemEval-2007 Task-17: English Lexical Sample, SRL and All Words**Sameer Pradhan, Edward Loper, Dmitriy Dligach, et al.*2007 · 443 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2007-semeval-2007-task-17-english/)
1107. [**Automatic construction of a hypernym-labeled noun hierarchy from text**Sharon A. Caraballo*1999 · 443 citations*](https://md.research.elamur.ai/free/en/papers/caraballo-1999-automatic-construction-hypernym-labeled-noun/)
1108. [**DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application to Accent Restoration in Spanish and French**David Yarowsky*1994 · 443 citations*](https://md.research.elamur.ai/free/en/papers/yarowsky-1994-decision-lists-lexical-ambiguity-resolution/)
1109. [**The Faiss library**Matthijs Douze, Alexandr Guzhva, Chengqi Deng, et al.*2024 · 442 citations*](https://md.research.elamur.ai/free/en/papers/douze-2024-faiss-library/)
1110. [**Entity-Relation Extraction as Multi-Turn Question Answering**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 442 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/)
1111. [**Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings**Yan Song, Shuming Shi, Jing Li, et al.*2018 · 442 citations*](https://md.research.elamur.ai/free/en/papers/song-2018-directional-skip-gram-explicitly-distinguishing/)
1112. [**An IR Approach for Translating New Words from Nonparallel, Comparable Texts**Pascale Fung, Lo Yuen Yee*1998 · 442 citations*](https://md.research.elamur.ai/free/en/papers/fung-1998-ir-approach-translating-new-words/)
1113. [**MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts**Pan Lu, Hritik Bansal, Tony Xia, et al.*2023 · 441 citations*](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/)
1114. [**Grammatical Category Disambiguation by Statistical Optimization**Steven J. DeRose*1988 · 441 citations*](https://md.research.elamur.ai/free/en/papers/derose-1988-grammatical-category-disambiguation-statistical-optimization/)
1115. [**One Sense per Collocation**David Yarowsky*1993 · 440 citations*](https://md.research.elamur.ai/free/en/papers/yarowsky-1993-one-sense-per-collocation/)
1116. [**Measuring Coding Challenge Competence With APPS**Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.*2021 · 439 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-coding-challenge-competence-apps/)
1117. [**Temporal Analysis of Language through Neural Language Models**Yoon Kim, Yi-I Chiu, Kentaro Hanaki, et al.*2014 · 439 citations*](https://md.research.elamur.ai/free/en/papers/kim-2014-temporal-analysis-language-through-neural/)
1118. [**Deep Communicating Agents for Abstractive Summarization**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 438 citations*](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/)
1119. [**Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation**Matt Post, David Vilar*2018 · 437 citations*](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/)
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