---
title: "Who cites Jenny Rose Finkel"
description: "2,395 papers of the Elamur Research library cite the works of Jenny Rose Finkel, found in their bibliographies · page 1 of 3 · 1–100; the most cited first."
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---
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# Who cites Jenny Rose Finkel

2,491 citations of their works from 2,395 papers of our library (of the 140,884 whose bibliographies we read) · 243 with a page here, the most cited first · page 1 of 3 · 1–100 · [← Jenny Rose Finkel](https://md.research.elamur.ai/free/en/authors/jenny-rose-finkel/)

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1. [**Transformers: State-of-the-Art Natural Language Processing**Thomas Wolf, Lysandre Debut, Victor Sanh, et al.*2020 · 15,591 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/)
2. [**The Stanford CoreNLP Natural Language Processing Toolkit**Christopher Manning, Mihai Surdeanu, John Bauer, et al.*2014 · 8,620 citations*](https://md.research.elamur.ai/free/en/papers/manning-2014-stanford-corenlp-natural-language-processing/)
3. [**Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations**Ranjay Krishna, Yuke Zhu, Oliver Groth, et al.*2016 · 5,747 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2016-visual-genome-connecting-language-vision/)
4. [**Hierarchical Attention Networks for Document Classification**Zichao Yang, Diyi Yang, Chris Dyer, et al.*2016 · 5,409 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/)
5. [**Learning Word Vectors for Sentiment Analysis**Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al.*2011 · 4,272 citations*](https://md.research.elamur.ai/free/en/papers/maas-2011-learning-word-vectors-sentiment-analysis/)
6. [**Bidirectional LSTM-CRF Models for Sequence Tagging**Zhiheng Huang, Wei Xu, Kai Yu*2015 · 3,802 citations*](https://md.research.elamur.ai/free/en/papers/huang-2015-bidirectional-lstm-crf-models-sequence/)
7. [**HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering**Zhilin Yang, Peng Qi, Saizheng Zhang, et al.*2018 · 3,489 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/)
8. [**Stanza: A Python Natural Language Processing Toolkit for Many Human Languages**Peng Qi, Yuhao Zhang, Yuhui Zhang, et al.*2020 · 2,347 citations*](https://md.research.elamur.ai/free/en/papers/qi-2020-stanza-python-natural-language-processing/)
9. [**Named Entity Recognition with Bidirectional LSTM-CNNs**Jason P. C. Chiu, Eric Nichols*2015 · 2,276 citations*](https://md.research.elamur.ai/free/en/papers/chiu-2015-named-entity-recognition-bidirectional-lstm/)
10. [**Reading Wikipedia to Answer Open-Domain Questions**Danqi Chen, Adam Fisch, Jason Weston, et al.*2017 · 2,250 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-reading-wikipedia-answer-open-domain/)
11. [**FEVER: a Large-scale Dataset for Fact Extraction and VERification**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,205 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)
12. [**Multimodal Transformer for Unaligned Multimodal Language Sequences**Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.*2019 · 2,170 citations*](https://md.research.elamur.ai/free/en/papers/tsai-2019-multimodal-transformer-unaligned-multimodal-language/)
13. [**Knowledge Graphs**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,011 citations*](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/)
14. [**BERT Rediscovers the Classical NLP Pipeline**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 1,993 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/)
15. [**Adversarial Examples for Evaluating Reading Comprehension Systems**Robin Jia, Percy Liang*2017 · 1,935 citations*](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)
16. [**Microsoft COCO Captions: Data Collection and Evaluation Server**Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.*2015 · 1,859 citations*](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/)
17. [**Design Challenges and Misconceptions in Named Entity Recognition**Lev Ratinov, Dan Roth*2009 · 1,836 citations*](https://md.research.elamur.ai/free/en/papers/ratinov-2009-design-challenges-misconceptions-named-entity/)
18. [**AllenNLP: A Deep Semantic Natural Language Processing Platform**Matt Gardner, Joel Grus, Mark Neumann, et al.*2018 · 1,804 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2018-allennlp-deep-semantic-natural-language/)
19. [**Document Modeling with Gated Recurrent Neural Network for Sentiment Classification**Duyu Tang, Bing Qin, Ting Liu*2015 · 1,675 citations*](https://md.research.elamur.ai/free/en/papers/tang-2015-document-modeling-gated-recurrent-neural/)
20. [**A Deep Reinforced Model for Abstractive Summarization**Romain Paulus, Caiming Xiong, Richard Socher*2017 · 1,626 citations*](https://md.research.elamur.ai/free/en/papers/paulus-2017-deep-reinforced-model-abstractive-summarization/)
21. [**Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned**Elena Voita, David Talbot, Fedor Moiseev, et al.*2019 · 1,511 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/)
22. [**Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph**AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.*2018 · 1,506 citations*](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/)
23. [**Named Entity Recognition in Tweets: An Experimental Study**Alan Ritter, Sam Clark, Mausam, et al.*2011 · 1,451 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2011-named-entity-recognition-tweets-experimental/)
24. [**Contextual String Embeddings for Sequence Labeling**Alan Akbik, Duncan Blythe, Roland Vollgraf*2018 · 1,390 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/)
25. [**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/)
26. [**PubMedQA: A Dataset for Biomedical Research Question Answering**Qiao Jin, Bhuwan Dhingra, Zhengping Liu, et al.*2019 · 1,152 citations*](https://md.research.elamur.ai/free/en/papers/jin-2019-pubmedqa-dataset-biomedical-research-question/)
27. [**SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,109 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-semeval-2019-task-6-identifying/)
28. [**Graph Convolution over Pruned Dependency Trees Improves Relation Extraction**Yuhao Zhang, Peng Qi, Christopher D. Manning*2018 · 1,046 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/)
29. [**Adversarial Example Generation with Syntactically Controlled Paraphrase Networks**Mohit Iyyer, John Wieting, Kevin Gimpel, et al.*2018 · 936 citations*](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/)
30. [**Learning to Ask: Neural Question Generation for Reading Comprehension**Xinya Du, Junru Shao, Claire Cardie*2017 · 913 citations*](https://md.research.elamur.ai/free/en/papers/du-2017-learning-ask-neural-question-generation/)
31. [**SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation**Daniel Cer, Mona Diab, Eneko Agirre, et al.*2017 · 907 citations*](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/)
32. [**A Unified MRC Framework for Named Entity Recognition**Xiaoya Li, Jingrong Feng, Yuxian Meng, et al.*2020 · 833 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-unified-mrc-framework-named-entity/)
33. [**Gated Self-Matching Networks for Reading Comprehension and Question Answering**Wenhui Wang, Nan Yang, Furu Wei, et al.*2017 · 823 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/)
34. [**SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation**Eneko Agirre, Carmen Banea, Daniel Cer, et al.*2016 · 820 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)
35. [**Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 778 citations*](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/)
36. [**Relational Graph Attention Network for Aspect-based Sentiment Analysis**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 775 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/)
37. [**Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps**Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, et al.*2020 · 735 citations*](https://md.research.elamur.ai/free/en/papers/ho-2020-constructing-multi-hop-qa-dataset/)
38. [**Neural Text Generation from Structured Data with Application to the Biography Domain**Remi Lebret, David Grangier, Michael Auli*2016 · 696 citations*](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/)
39. [**The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations**Felix Hill, Antoine Bordes, Sumit Chopra, et al.*2015 · 693 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/)
40. [**Learning bilingual word embeddings with (almost) no bilingual data**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2017 · 681 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2017-learning-bilingual-word-embeddings-almost/)
41. [**Semantic Parsing via Paraphrasing**Jonathan Berant, Percy Liang*2014 · 681 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-semantic-parsing-paraphrasing/)
42. [**Evaluation methods for unsupervised word embeddings**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 669 citations*](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/)
43. [**Cross-lingual Name Tagging and Linking for 282 Languages**Xiaoman Pan, Boliang Zhang, Jonathan May, et al.*2017 · 668 citations*](https://md.research.elamur.ai/free/en/papers/pan-2017-cross-lingual-name-tagging-linking/)
44. [**Universal Stanford dependencies: A cross-linguistic typology**Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, et al.*2014 · 626 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2014-universal-stanford-dependencies-cross-linguistic/)
45. [**Dynamic Coattention Networks For Question Answering**Caiming Xiong, Victor Zhong, Richard Socher*2016 · 578 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2016-dynamic-coattention-networks-question-answering/)
46. [**Sentence Simplification with Deep Reinforcement Learning**Xingxing Zhang, Mirella Lapata*2017 · 567 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-sentence-simplification-deep-reinforcement-learning/)
47. [**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/)
48. [**Fast and Accurate Entity Recognition with Iterated Dilated Convolutions**Emma Strubell, Patrick Verga, David Belanger, et al.*2017 · 544 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/)
49. [**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/)
50. [**Creating Training Corpora for NLG Micro-Planners**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 526 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/)
51. [**Learning to Solve Arithmetic Word Problems with Verb Categorization**Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, et al.*2014 · 513 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2014-learning-solve-arithmetic-word-problems/)
52. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/)
53. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 481 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
54. [**What to do about bad language on the internet**Jacob Eisenstein*2013 · 469 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/)
55. [**Emergent: a novel data-set for stance classification**William Ferreira, Andreas Vlachos*2016 · 456 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2016-emergent-novel-data-set-stance/)
56. [**Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks**Hua He, Kevin Gimpel, Jimmy Lin*2015 · 447 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/)
57. [**HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization**Xingxing Zhang, Furu Wei, Ming Zhou*2019 · 446 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/)
58. [**Context-Aware Neural Machine Translation Learns Anaphora Resolution**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 446 citations*](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/)
59. [**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/)
60. [**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/)
61. [**Recognizing Named Entities in Tweets**Xiaohua Liu, Shaodian Zhang, Furu Wei, et al.*2011 · 435 citations*](https://md.research.elamur.ai/free/en/papers/liu-2011-recognizing-named-entities-tweets/)
62. [**Deep Communicating Agents for Abstractive Summarization**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 431 citations*](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/)
63. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*2017 · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
64. [**Tailoring Continuous Word Representations for Dependency Parsing**Mohit Bansal, Kevin Gimpel, Karen Livescu*2014 · 418 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/)
65. [**Using Document Level Cross-Event Inference to Improve Event Extraction**Shasha Liao, Ralph Grishman*2010 · 407 citations*](https://md.research.elamur.ai/free/en/papers/liao-2010-document-level-cross-event-inference/)
66. [**Nested Named Entity Recognition**Jenny Rose Finkel, Christopher D. Manning*2009 · 403 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2009-nested-named-entity-recognition/)
67. [**Neural Architectures for Nested NER through Linearization**Jana Straková, Milan Straka, Jan Hajic*2019 · 400 citations*](https://md.research.elamur.ai/free/en/papers/strakova-2019-neural-architectures-nested-ner-through/)
68. [**A Unified Generative Framework for Various NER Subtasks**Hang Yan, Tao Gui, Junqi Dai, et al.*2021 · 392 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/)
69. [**Discourse-Aware Neural Extractive Text Summarization**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 382 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/)
70. [**Learning from Bullying Traces in Social Media**Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, et al.*2012 · 381 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-learning-bullying-traces-social-media/)
71. [**ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension**Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.*2018 · 379 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-record-bridging-gap-between-human/)
72. [**A Neural Layered Model for Nested Named Entity Recognition**Meizhi Ju, Makoto Miwa, Sophia Ananiadou*2018 · 378 citations*](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/)
73. [**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/)
74. [**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/)
75. [**Question Answering on Freebase via Relation Extraction and Textual Evidence**Kun Xu, Siva Reddy, Yansong Feng, et al.*2016 · 357 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-question-answering-freebase-relation-extraction/)
76. [**FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization**Esin Durmus, He He, Mona Diab*2020 · 350 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2020-feqa-question-answering-evaluation-framework/)
77. [**Visual Storytelling**Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.*2016 · 344 citations*](https://md.research.elamur.ai/free/en/papers/huang-2016-visual-storytelling/)
78. [**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/)
79. [**Using Cross-Entity Inference to Improve Event Extraction**Yu Hong, Jianfeng Zhang, Bin Ma, et al.*2011 · 321 citations*](https://md.research.elamur.ai/free/en/papers/hong-2011-cross-entity-inference-improve-event/)
80. [**Supervised Noun Phrase Coreference Research: The First Fifteen Years**Vincent Ng*2010 · 315 citations*](https://md.research.elamur.ai/free/en/papers/ng-2010-supervised-noun-phrase-coreference-research/)
81. [**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/)
82. [**Learning Named Entity Tagger using Domain-Specific Dictionary**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/)
83. [**A Dependency Parser for Tweets**Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.*2014 · 298 citations*](https://md.research.elamur.ai/free/en/papers/kong-2014-dependency-parser-tweets/)
84. [**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/)
85. [**Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection**Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al.*2015 · 296 citations*](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/)
86. [**A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature**Benjamin Nye, Junyi Jessy Li, Roma Patel, et al.*2018 · 293 citations*](https://md.research.elamur.ai/free/en/papers/nye-2018-corpus-multi-level-annotations-patients/)
87. [**Black Holes and White Rabbits: Metaphor Identification with Visual Features**Ekaterina Shutova, Douwe Kiela, Jean Maillard*2016 · 292 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2016-black-holes-white-rabbits-metaphor/)
88. [**CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 288 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/)
89. [**Modeling Biological Processes for Reading Comprehension**Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, et al.*2014 · 288 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-modeling-biological-processes-reading-comprehension/)
90. [**A Bayesian Mixed Effects Model of Literary Character**David Bamman, Ted Underwood, Noah A. Smith*2014 · 285 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2014-bayesian-mixed-effects-model-literary/)
91. [**Simple Coreference Resolution with Rich Syntactic and Semantic Features**Aria Haghighi, Dan Klein*2009 · 277 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2009-simple-coreference-resolution-rich-syntactic/)
92. [**A Transition-based Algorithm for AMR Parsing**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 268 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-transition-based-algorithm-amr-parsing/)
93. [**Context Dependent Claim Detection**Ran Levy, Yonatan Bilu, Daniel Hershcovich, et al.*2014 · 268 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-context-dependent-claim-detection/)
94. [**SemEval-2016 Task 12: Clinical TempEval**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 263 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)
95. [**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/)
96. [**Re-evaluating Evaluation in Text Summarization**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.*2020 · 256 citations*](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/)
97. [**BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages**Benjamin Heinzerling, Michael Strube*2018 · 256 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/)
98. [**Entity-Centric Coreference Resolution with Model Stacking**Kevin Clark, Christopher D. Manning*2015 · 252 citations*](https://md.research.elamur.ai/free/en/papers/clark-2015-entity-centric-coreference-resolution-model/)
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