---
title: "The MIT Press — works"
description: "232 works of The MIT Press in our library · page 1 of 3, the most cited first."
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# Works of The MIT Press

232 works · page 1 of 3 · the most cited first · [← The MIT Press](https://md.research.elamur.ai/free/en/publishers/the-mit-press/)

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1. [**Latent Dirichlet Allocation**David M. Blei, Andrew Y. Ng, Michael I. Jordan*2003 · 28,297 citations*](https://md.research.elamur.ai/free/en/papers/blei-2003-latent-dirichlet-allocation/)
2. [**Natural Questions: A Benchmark for Question Answering Research**Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al.*2019 · 4,031 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2019-natural-questions-benchmark-question-answering/)
3. [**A Maximum Entropy Approach to Natural Language Processing**Adam L. Berger, Stephen A. Della Pietra, Vincent J. Della Pietra*1996 · 3,633 citations*](https://md.research.elamur.ai/free/en/papers/berger-1996-maximum-entropy-approach-natural-language/)
4. [**Lexicon-Based Methods for Sentiment Analysis**Maite Taboada, Julian Brooke, Milan Tofiloski, et al.*2011 · 3,556 citations*](https://md.research.elamur.ai/free/en/papers/taboada-2011-lexicon-based-methods-sentiment-analysis/)
5. [**Accurate Methods for the Statistics of Surprise and Coincidence**Ted Dunning*1993 · 3,060 citations*](https://md.research.elamur.ai/free/en/papers/dunning-1993-accurate-methods-statistics-surprise-coincidence/)
6. [**Building a Large Annotated Corpus of English: The Penn Treebank**Mitchell P. Marcus, Beatrice Santorini, Mary Ann Marcinkiewicz*1993 · 3,006 citations*](https://md.research.elamur.ai/free/en/papers/marcus-1993-building-large-annotated-corpus-english/)
7. [**Assessing Agreement on Classification Tasks: The Kappa Statistic**Jean Carletta*1996 · 2,462 citations*](https://md.research.elamur.ai/free/en/papers/carletta-1996-assessing-agreement-classification-tasks-kappa/)
8. [**Automatic Labeling of Semantic Roles**Daniel Gildea, Daniel Jurafsky*2002 · 2,216 citations*](https://md.research.elamur.ai/free/en/papers/gildea-2002-automatic-labeling-semantic-roles/)
9. [**A Primer in BERTology: What We Know About How BERT Works**Anna Rogers, Olga Kovaleva, Anna Rumshisky*2020 · 2,127 citations*](https://md.research.elamur.ai/free/en/papers/rogers-2020-primer-bertology-what-we-know/)
10. [**Centering: A Framework for Modeling the Local Coherence of Discourse**Barbara J. Grosz, Aravind K. Joshi, Scott Weinstein*1995 · 2,101 citations*](https://md.research.elamur.ai/free/en/papers/grosz-1995-centering-framework-modeling-local-coherence/)
11. [**Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging**Eric Brill*1995 · 1,774 citations*](https://md.research.elamur.ai/free/en/papers/brill-1995-transformation-based-error-driven-learning/)
12. [**SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation**Felix Hill, Roi Reichart, Anna Korhonen*2015 · 1,622 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/)
13. [**CoQA: A Conversational Question Answering Challenge**Siva Reddy, Danqi Chen, Christopher D. Manning*2019 · 1,541 citations*](https://md.research.elamur.ai/free/en/papers/reddy-2019-coqa-conversational-question-answering-challenge/)
14. [**How Can We Know What Language Models Know?**Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.*2020 · 1,493 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2020-how-can-we-know-what/)
15. [**Automatic Word Sense Discrimination**Hinrich Schütze*1998 · 1,486 citations*](https://md.research.elamur.ai/free/en/papers/schutze-1998-automatic-word-sense-discrimination/)
16. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*2000 · 1,447 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)
17. [**A Machine Learning Approach to Coreference Resolution of Noun Phrases**Wee Meng Soon, Hwee Tou Ng, Daniel Chung Yong Lim*2001 · 1,287 citations*](https://md.research.elamur.ai/free/en/papers/soon-2001-machine-learning-approach-coreference-resolution/)
18. [**A Program for Aligning Sentences in Bilingual Corpora**William A. Gale, Kenneth W. Church*1993 · 1,284 citations*](https://md.research.elamur.ai/free/en/papers/gale-1993-program-aligning-sentences-bilingual-corpora/)
19. [**Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*2016 · 1,239 citations*](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/)
20. [**Opinion Word Expansion and Target Extraction through Double Propagation**Guang Qiu, Bing Liu, Jiajun Bu, et al.*2011 · 1,196 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2011-opinion-word-expansion-target-extraction/)
21. [**ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs**Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.*2016 · 1,048 citations*](https://md.research.elamur.ai/free/en/papers/yin-2016-abcnn-attention-based-convolutional-neural/)
22. [**The NarrativeQA Reading Comprehension Challenge**Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.*2018 · 1,026 citations*](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/)
23. [**Finite-State Transducers in Language and Speech Processing**Mehryar Mohri*1997 · 1,021 citations*](https://md.research.elamur.ai/free/en/papers/mohri-1997-finite-state-transducers-language-speech/)
24. [**Optimizing Statistical Machine Translation for Text Simplification**Wei Xu, Courtney Napoles, Ellie Pavlick, et al.*2016 · 952 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)
25. [**Retrieving Collocations from Text: Xtract**Frank Smadja*1993 · 951 citations*](https://md.research.elamur.ai/free/en/papers/smadja-1993-retrieving-collocations-text-xtract/)
26. [**An Algorithm for Pronominal Anaphora Resolution**Shalom Lappin, Herbert J. Leass*1994 · 945 citations*](https://md.research.elamur.ai/free/en/papers/lappin-1994-algorithm-pronominal-anaphora-resolution/)
27. [**Topic Modeling in Embedding Spaces**Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei*2020 · 914 citations*](https://md.research.elamur.ai/free/en/papers/dieng-2020-topic-modeling-embedding-spaces/)
28. [**Grounded Compositional Semantics for Finding and Describing Images with Sentences**Richard Socher, Andrej Karpathy, Quoc V. Le, et al.*2014 · 909 citations*](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/)
29. [**Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations**Eliyahu Kiperwasser, Yoav Goldberg*2016 · 903 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)
30. [**Distributional Memory: A General Framework for Corpus-Based Semantics**Marco Baroni, Alessandro Lenci*2010 · 879 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2010-distributional-memory-general-framework-corpus/)
31. [**What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models**Allyson Ettinger*2020 · 843 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2020-what-bert-is-not-lessons/)
32. [**Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis**Theresa Wilson, Janyce Wiebe, Paul Hoffmann*2009 · 824 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2009-recognizing-contextual-polarity-exploration-features/)
33. [**Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status**Simone Teufel, Marc Moens*2002 · 775 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/)
34. [**Introduction to the Special Issue on Word Sense Disambiguation: The State of the Art**Nancy Ide, Jean Véronis*1998 · 740 citations*](https://md.research.elamur.ai/free/en/papers/ide-1998-introduction-special-issue-word-sense/)
35. [**Analysis Methods in Neural Language Processing: A Survey**Yonatan Belinkov, James Glass*2019 · 735 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/)
36. [**TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages**Jonathan H. Clark, Eunsol Choi, Michael Collins, et al.*2020 · 691 citations*](https://md.research.elamur.ai/free/en/papers/clark-2020-tydi-qa-benchmark-information-seeking/)
37. [**Benchmarking Large Language Models for News Summarization**Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.*2024 · 663 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/)
38. [**Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation**Markus Freitag, George Foster, David Grangier, et al.*2021 · 660 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/)
39. [**Problems in Current Text Simplification Research: New Data Can Help**Wei Xu, Chris Callison-Burch, Courtney Napoles*2015 · 659 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/)
40. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)
41. [**Parsing Argumentation Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2017 · 613 citations*](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/)
42. [**Argument Mining: A Survey**John Lawrence, Chris Reed*2019 · 601 citations*](https://md.research.elamur.ai/free/en/papers/lawrence-2019-argument-mining-survey/)
43. [**Translating Collocations for Bilingual Lexicons: A Statistical Approach**Frank Smadja, Kathleen R. McKeown, Vasileios Hatzivassiloglou*1996 · 599 citations*](https://md.research.elamur.ai/free/en/papers/smadja-1996-translating-collocations-bilingual-lexicons-statistical/)
44. [**Tagging English Text with a Probabilistic Model**Bernard Merialdo*1994 · 599 citations*](https://md.research.elamur.ai/free/en/papers/merialdo-1994-tagging-english-text-probabilistic-model/)
45. [**A Critique and Improvement of an Evaluation Metric for Text Segmentation**Lev Pevzner, Marti A. Hearst*2002 · 594 citations*](https://md.research.elamur.ai/free/en/papers/pevzner-2002-critique-improvement-evaluation-metric-text/)
46. [**Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions**Yoav Artzi, Luke Zettlemoyer*2013 · 592 citations*](https://md.research.elamur.ai/free/en/papers/artzi-2013-weakly-supervised-learning-semantic-parsers/)
47. [**Supertagging: An Approach to Almost Parsing**Srinivas Bangalore, Aravind K. Joshi*1999 · 567 citations*](https://md.research.elamur.ai/free/en/papers/bangalore-1999-supertagging-approach-almost-parsing/)
48. [**Cross-Sentence N-ary Relation Extraction with Graph LSTMs**Nanyun Peng, Hoifung Poon, Chris Quirk, et al.*2017 · 553 citations*](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/)
49. [**Fully Character-Level Neural Machine Translation without Explicit Segmentation**Jason Lee, Kyunghyun Cho, Thomas Hofmann*2017 · 545 citations*](https://md.research.elamur.ai/free/en/papers/lee-2017-fully-character-level-neural-machine/)
50. [**A Structured Review of the Validity of BLEU**Ehud Reiter*2018 · 538 citations*](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/)
51. [**Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules**Heeyoung Lee, Angel Chang, Yves Peirsman, et al.*2013 · 536 citations*](https://md.research.elamur.ai/free/en/papers/lee-2013-deterministic-coreference-resolution-based-entity/)
52. [**Using Corpus Statistics and WordNet Relations for Sense Identification**Claudia Leacock, Martin Chodorow, George A. Miller*1998 · 518 citations*](https://md.research.elamur.ai/free/en/papers/leacock-1998-corpus-statistics-wordnet-relations-sense/)
53. [**Probing Classifiers: Promises, Shortcomings, and Advances**Yonatan Belinkov*2022 · 513 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2022-probing-classifiers-promises-shortcomings-advances/)
54. [**Sparse, Dense, and Attentional Representations for Text Retrieval**Yi Luan, Jacob Eisenstein, Kristina Toutanova, et al.*2021 · 500 citations*](https://md.research.elamur.ai/free/en/papers/luan-2021-sparse-dense-attentional-representations-text/)
55. [**PCFG Models of Linguistic Tree Representations**Mark Johnson*1998 · 488 citations*](https://md.research.elamur.ai/free/en/papers/johnson-1998-pcfg-models-linguistic-tree-representations/)
56. [**Universal Dependencies**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 480 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)
57. [**The Reliability of a Dialogue Structure Coding Scheme**Jean Carletta, Amy Isard, Stephen Isard, et al.*1997 · 480 citations*](https://md.research.elamur.ai/free/en/papers/carletta-1997-reliability-dialogue-structure-coding-scheme/)
58. [**Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora**Dekai Wu*1997 · 453 citations*](https://md.research.elamur.ai/free/en/papers/wu-1997-stochastic-inversion-transduction-grammars-bilingual/)
59. [**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/)
60. [**Arabic Dialect Identification**Omar F. Zaidan, Chris Callison-Burch*2014 · 436 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2014-arabic-dialect-identification/)
61. [**Computational Generation of Referring Expressions: A Survey**Emiel Krahmer, Kees van Deemter*2012 · 430 citations*](https://md.research.elamur.ai/free/en/papers/krahmer-2012-computational-generation-referring-expressions-survey/)
62. [**MasakhaNER: Named Entity Recognition for African Languages**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 429 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/)
63. [**Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods**Nitin Madnani, Bonnie J. Dorr*2010 · 425 citations*](https://md.research.elamur.ai/free/en/papers/madnani-2010-generating-phrasal-sentential-paraphrases-survey/)
64. [**Probabilistic Top-Down Parsing and Language Modeling**Brian Roark*2001 · 424 citations*](https://md.research.elamur.ai/free/en/papers/roark-2001-probabilistic-top-down-parsing-language/)
65. [**Text-Translation Alignment**Martin Kay, Martin Roscheisen*1993 · 423 citations*](https://md.research.elamur.ai/free/en/papers/kay-1993-text-translation-alignment/)
66. [**Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations**Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran*2022 · 415 citations*](https://md.research.elamur.ai/free/en/papers/davani-2022-dealing-disagreements-looking-beyond-majority/)
67. [**Frame-Semantic Parsing**Dipanjan Das, Desai Chen, André F. T. Martins, et al.*2014 · 411 citations*](https://md.research.elamur.ai/free/en/papers/das-2014-frame-semantic-parsing/)
68. [**A Stochastic Finite-State Word-Segmentation Algorithm for Chinese**Richard W. Sproat, Chilin Shih, William Gale, et al.*1996 · 410 citations*](https://md.research.elamur.ai/free/en/papers/sproat-1996-stochastic-finite-state-word-segmentation/)
69. [**A Corpus-based Investigation of Definite Description Use**Massimo Poesio, Renata Vieira*1998 · 407 citations*](https://md.research.elamur.ai/free/en/papers/poesio-1998-corpus-based-investigation-definite-description/)
70. [**Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering**Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.*2023 · 403 citations*](https://md.research.elamur.ai/free/en/papers/siriwardhana-2023-improving-domain-adaptation-retrieval-augmented/)
71. [**Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification**Xilun Chen, Yu Sun, Ben Athiwaratkun, et al.*2018 · 393 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-adversarial-deep-averaging-networks-cross/)
72. [**♫ MuSiQue: Multihop Questions via Single-hop Question Composition**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 384 citations*](https://md.research.elamur.ai/free/en/papers/trivedi-2022-musique-multihop-questions-single-hop/)
73. [**Many Languages, One Parser**Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.*2016 · 382 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/)
74. [**A Survey on Model Compression for Large Language Models**Xunyu Zhu, Jian Li, Yong Liu, et al.*2024 · 381 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-survey-model-compression-large-language/)
75. [**From Paraphrase Database to Compositional Paraphrase Model and Back**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 375 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/)
76. [**A Latent Variable Model Approach to PMI-based Word Embeddings**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2016 · 365 citations*](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/)
77. [**Random Walks for Knowledge-Based Word Sense Disambiguation**Eneko Agirre, Oier López de Lacalle, Aitor Soroa*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-random-walks-knowledge-based-word/)
78. [**Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns**Kellie Webster, Marta Recasens, Vera Axelrod, et al.*2018 · 358 citations*](https://md.research.elamur.ai/free/en/papers/webster-2018-mind-gap-balanced-corpus-gendered/)
79. [**Temporal Annotation in the Clinical Domain**William F. Styler IV, Steven Bethard, Sean Finan, et al.*2014 · 349 citations*](https://md.research.elamur.ai/free/en/papers/iv-2014-temporal-annotation-clinical-domain/)
80. [**Word Sense Disambiguation Using a Second Language Monolingual Corpus**Ido Dagan, Alon Itai*1994 · 344 citations*](https://md.research.elamur.ai/free/en/papers/dagan-1994-word-sense-disambiguation-second-language/)
81. [**xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection**Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt, et al.*2024 · 333 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2024-xcomet-transparent-machine-translation-evaluation/)
82. [**DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension**Kai Sun, Dian Yu, Jianshu Chen, et al.*2019 · 331 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-dream-challenge-data-set-models/)
83. [**A Joint Model for Entity Analysis: Coreference, Typing, and Linking**Greg Durrett, Dan Klein*2014 · 329 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2014-joint-model-entity-analysis-coreference/)
84. [**Machine Translation Divergences: A Formal Description and Proposed Solution**Bonnie J. Dorr*1994 · 328 citations*](https://md.research.elamur.ai/free/en/papers/dorr-1994-machine-translation-divergences-formal-description/)
85. [**Statistical Approaches to Computer-Assisted Translation**Sergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.*2008 · 313 citations*](https://md.research.elamur.ai/free/en/papers/barrachina-2009-statistical-approaches-computer-assisted-translation/)
86. [**Measuring the Evolution of a Scientific Field through Citation Frames**David Jurgens, Srijan Kumar, Raine Hoover, et al.*2018 · 311 citations*](https://md.research.elamur.ai/free/en/papers/jurgens-2018-measuring-evolution-scientific-field-through/)
87. [**Gender Bias in Machine Translation**Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.*2021 · 310 citations*](https://md.research.elamur.ai/free/en/papers/savoldi-2021-gender-bias-machine-translation/)
88. [**Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.*2022 · 307 citations*](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/)
89. [**Unsupervised Type and Token Identification of Idiomatic Expressions**Afsaneh Fazly, Paul Cook, Suzanne Stevenson*2009 · 301 citations*](https://md.research.elamur.ai/free/en/papers/fazly-2009-unsupervised-type-token-identification-idiomatic/)
90. [**Near-Synonymy and Lexical Choice**Philip Edmonds, Graeme Hirst*2002 · 300 citations*](https://md.research.elamur.ai/free/en/papers/edmonds-2002-near-synonymy-lexical-choice/)
91. [**Survey: Multiword Expression Processing: A Survey**Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/)
92. [**PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them**Patrick Lewis, Yuxiang Wu, Linqing Liu, et al.*2021 · 286 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2021-paq-65-million-probably-asked/)
93. [**Constructing Datasets for Multi-hop Reading Comprehension Across Documents**Johannes Welbl, Pontus Stenetorp, Sebastian Riedel*2018 · 283 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2018-constructing-datasets-multi-hop-reading/)
94. [**The rhetorical parsing of unrestricted texts: a surface-based approach**Daniel Marcu*2000 · 281 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2000-rhetorical-parsing-unrestricted-texts-surface/)
95. [**A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions**Junchao Wu, Shu Yang, Runzhe Zhan, et al.*2025 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-survey-llm-generated-text-detection/)
96. [**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/)
97. [**Automatically Assessing Machine Summary Content Without a Gold Standard**Annie Louis, Ani Nenkova*2013 · 254 citations*](https://md.research.elamur.ai/free/en/papers/louis-2013-automatically-assessing-machine-summary-content/)
98. [**An Empirical Survey of Data Augmentation for Limited Data Learning in NLP**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 253 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/)
99. [**On Coreferring: Coreference in MUC and Related Annotation Schemes**Kees van Deemter, Rodger Kibble*2000 · 252 citations*](https://md.research.elamur.ai/free/en/papers/deemter-2000-coreferring-coreference-muc-related-annotation/)
100. [**Survey of Low-Resource Machine Translation**Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.*2022 · 251 citations*](https://md.research.elamur.ai/free/en/papers/haddow-2022-survey-low-resource-machine-translation/)

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