---
title: "Who cites Jason Smith — page 2 — 1,937 papers of our library"
description: "1937 papers of the Elamur Research library cite the works of Jason Smith, found in their bibliographies · page 2 of 4 · 101–200; the most cited first."
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---
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# Who cites Jason Smith

1,949 citations of their works from 1,937 papers of our library (of the 149,439 whose bibliographies we read) · 349 with a page here, the most cited first · page 2 of 4 · 101–200 · [← Jason Smith](https://md.research.elamur.ai/free/en/authors/jason-smith/)

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101. [**CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB arXiv:1911.04944**Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.*2019 · 358 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/)
102. **[Multilingual Constituency Parsing with Self-Attention and Pre-Training](https://md.research.elamur.ai/free/en/papers/kitaev-2019-multilingual-constituency-parsing-self-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nikita Kitaev, Steven Cao, Dan Klein*2019 · 358 citations*
103. **[Exploring Neural Text Simplification Models](https://md.research.elamur.ai/free/en/papers/nisioi-2017-exploring-neural-text-simplification-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, et al.*2017 · 353 citations*
104. **[SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2021-simcls-simple-framework-contrastive-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Liu, Pengfei Liu*2021 · 341 citations*
105. **[Efficient Attentions for Long Document Summarization](https://md.research.elamur.ai/free/en/papers/huang-2021-efficient-attentions-long-document-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al.*2021 · 336 citations*
106. [**An Actor-Critic Algorithm for Sequence Prediction arXiv:1607.07086**Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al.*2016 · 335 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2016-actor-critic-algorithm-sequence-prediction/)
107. [**Generating Wikipedia by Summarizing Long Sequences arXiv:1801.10198**Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.*2018 · 334 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-generating-wikipedia-summarizing-long-sequences/)
108. **[Robust Neural Machine Translation with Doubly Adversarial Inputs](https://md.research.elamur.ai/free/en/papers/cheng-2019-robust-neural-machine-translation-doubly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yong Cheng, Lu Jiang, Wolfgang Macherey*2019 · 325 citations*
109. **[Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/toral-2018-attaining-unattainable-reassessing-claims-human/) [Conference on Machine Translation: Research Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-research-papers/)**Antonio Toral, Sheila Castilho, Ke Hu, et al.*2018 · 321 citations*
110. [**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/)
111. **[A Transformer-based approach to Irony and Sarcasm detection](https://md.research.elamur.ai/free/en/papers/potamias-2019-transformer-based-approach-irony-sarcasm/) [Neural Computing and Applications](https://md.research.elamur.ai/free/en/venues/neural-computing-and-applications/)**Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis*2019 · 312 citations*
112. [**S2ORC: The Semantic Scholar Open Research Corpus arXiv:1911.02782**Kyle Lo, Lucy Lu Wang, Mark Neumann, et al.*2019 · 312 citations*](https://md.research.elamur.ai/free/en/papers/lo-2019-s2orc-semantic-scholar-open-research/)
113. **[Byte Pair Encoding is Suboptimal for Language Model Pretraining](https://md.research.elamur.ai/free/en/papers/bostrom-2020-byte-pair-encoding-is-suboptimal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaj Bostrom, Greg Durrett*2020 · 310 citations*
114. **[A Survey of Domain Adaptation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chu-2018-survey-domain-adaptation-neural-machine/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chenhui Chu, Rui Wang*2018 · 308 citations*
115. **[Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.*2022 · 307 citations*
116. **[Learning to Write with Cooperative Discriminators](https://md.research.elamur.ai/free/en/papers/holtzman-2018-learning-write-cooperative-discriminators/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ari Holtzman, Jan Buys, Maxwell Forbes, et al.*2018 · 303 citations*
117. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
118. [**Challenges and Applications of Large Language Models arXiv:2307.10169**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 301 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
119. **[Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation](https://md.research.elamur.ai/free/en/papers/clark-2022-canine-pre-training-efficient-tokenization/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.*2022 · 301 citations*
120. **[Paraphrase Generation with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/li-2018-paraphrase-generation-deep-reinforcement-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zichao Li, Xin Jiang, Lifeng Shang, et al.*2018 · 300 citations*
121. **[Bridging the Gap between Training and Inference for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Zhang, Yang Feng, Fandong Meng, et al.*2019 · 299 citations*
122. **[Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.*2021 · 297 citations*
123. **[BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.*2022 · 296 citations*
124. **[Survey: Multiword Expression Processing: A Survey](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.*2017 · 296 citations*
125. [**Easy Victories and Uphill Battles in Coreference Resolution**Greg Durrett, Dan Klein*2013 · 293 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2013-easy-victories-uphill-battles-coreference/)
126. **[Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/nguyen-2017-transfer-learning-across-low-resource/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Toan Q. Nguyen, David Chiang*2017 · 288 citations*
127. [**ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning arXiv:2002.04326**Weihao Yu, Zihang Jiang, Yanfei Dong, et al.*2020 · 286 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-reclor-reading-comprehension-dataset-requiring/)
128. [**Beyond Data and Model Parallelism for Deep Neural Networks SysML 2019**Zhihao Jia, Matei Zaharia, Alex Aiken*2018 · 280 citations*](https://md.research.elamur.ai/free/en/papers/jia-2018-beyond-data-model-parallelism-deep/)
129. **[Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization](https://md.research.elamur.ai/free/en/papers/cao-2018-retrieve-rerank-rewrite-soft-template/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqiang Cao, Wenjie Li, Sujian Li, et al.*2018 · 270 citations*
130. **[Modeling Localness for Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/yang-2018-modeling-localness-self-attention-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Baosong Yang, Zhaopeng Tu, Derek F. Wong, et al.*2018 · 255 citations*
131. [**Contrastive Decoding: Open-ended Text Generation as Optimization arXiv:2210.15097**Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.*2022 · 253 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/)
132. **[Tied Multitask Learning for Neural Speech Translation](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2018-tied-multitask-learning-neural-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Antonios Anastasopoulos, David Chiang*2018 · 253 citations*
133. **[Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models](https://md.research.elamur.ai/free/en/papers/shao-2017-generating-high-quality-informative-conversation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanlong Shao, Stephan Gouws, Denny Britz, et al.*2017 · 246 citations*
134. **[Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 243 citations*
135. **[Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge](https://md.research.elamur.ai/free/en/papers/rahman-2012-resolving-complex-cases-definite-pronouns/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Altaf Rahman, Vincent Ng*2012 · 243 citations*
136. [**Generative Language Modeling for Automated Theorem Proving arXiv:2009.03393**Stanislas Polu, Ilya Sutskever*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/polu-2020-generative-language-modeling-automated-theorem/)
137. **[SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*
138. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 238 citations*
139. **[Document Context Neural Machine Translation with Memory Networks](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sameen Maruf, Gholamreza Haffari*2018 · 238 citations*
140. **[Towards Robust Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/cheng-2018-robust-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yong Cheng, Zhaopeng Tu, Fandong Meng, et al.*2018 · 238 citations*
141. **[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 · 236 citations*
142. **[A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations*
143. **[Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 232 citations*
144. **[CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs](https://md.research.elamur.ai/free/en/papers/kishky-2020-ccaligned-massive-collection-cross-lingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.*2020 · 231 citations*
145. **[The University of Edinburgh's Neural MT Systems for WMT17](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Rico Sennrich, Alexandra Birch, Anna Currey, et al.*2017 · 228 citations*
146. **[Neural CRF Model for Sentence Alignment in Text Simplification](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chao Jiang, Mounica Maddela, Wuwei Lan, et al.*2020 · 227 citations*
147. **[MTNT: A Testbed for Machine Translation of Noisy Text](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Paul Michel, Graham Neubig*2018 · 227 citations*
148. [**Correcting Length Bias in Neural Machine Translation arXiv:1808.10006**Kenton Murray, David Chiang*2018 · 221 citations*](https://md.research.elamur.ai/free/en/papers/murray-2018-correcting-length-bias-neural-machine/)
149. **[Learning to Parse and Translate Improves Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho*2017 · 217 citations*
150. **[N-gram Counts and Language Models from the Common Crawl](https://md.research.elamur.ai/free/en/papers/buck-2014-n-gram-counts-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Christian Buck, Kenneth Heafield, Bas van Ooyen*2014 · 217 citations*
151. **[Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts](https://md.research.elamur.ai/free/en/papers/clark-2019-sentence-mover-s-similarity-automatic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith*2019 · 209 citations*
152. **[CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters](https://md.research.elamur.ai/free/en/papers/boukkouri-2020-characterbert-reconciling-elmo-bert-word/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.*2020 · 206 citations*
153. **[Neural Arabic Question Answering](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.*2019 · 206 citations*
154. **[Contextual Parameter Generation for Universal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 206 citations*
155. **[End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jindřich Libovický, Jindřich Helcl*2018 · 202 citations*
156. **[On NMT Search Errors and Model Errors: Cat Got Your Tongue?](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Felix Stahlberg, Bill Byrne*2019 · 201 citations*
157. [**Does Neural Machine Translation Benefit from Larger Context? arXiv:1704.05135**Sebastien Jean, Stanislas Lauly, Orhan Firat, et al.*2017 · 201 citations*](https://md.research.elamur.ai/free/en/papers/jean-2017-neural-machine-translation-benefit-larger/)
158. [**Analyzing Uncertainty in Neural Machine Translation arXiv:1803.00047**Myle Ott, Michael Auli, David Grangier, et al.*2018 · 195 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/)
159. **[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 194 citations*
160. **[Compressing Large-Scale Transformer-Based Models: A Case Study on BERT](https://md.research.elamur.ai/free/en/papers/ganesh-2021-compressing-large-scale-transformer-based/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Prakhar Ganesh, Yao Chen, Xin Lou, et al.*2021 · 190 citations*
161. **[Neural Open Information Extraction](https://md.research.elamur.ai/free/en/papers/cui-2018-neural-open-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Cui, Furu Wei, Ming Zhou*2018 · 188 citations*
162. [**Charformer: Fast Character Transformers via Gradient-based Subword Tokenization arXiv:2106.12672**Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.*2021 · 186 citations*](https://md.research.elamur.ai/free/en/papers/tay-2021-charformer-fast-character-transformers-gradient/)
163. **[Investigating Backtranslation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.*2018 · 185 citations*
164. [**Representation Degeneration Problem in Training Natural Language Generation Models arXiv:1907.12009**Jun Gao, Di He, Xu Tan, et al.*2019 · 181 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)
165. **[Non-Autoregressive Machine Translation with Latent Alignments](https://md.research.elamur.ai/free/en/papers/saharia-2020-non-autoregressive-machine-translation-latent/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chitwan Saharia, William Chan, Saurabh Saxena, et al.*2020 · 178 citations*
166. **[ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuta Koreeda, Christopher Manning*2021 · 177 citations*
167. **[Coreference Resolution with Entity Equalization](https://md.research.elamur.ai/free/en/papers/kantor-2019-coreference-resolution-entity-equalization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ben Kantor, Amir Globerson*2019 · 176 citations*
168. [**StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding arXiv:1908.04577**Wei Wang, Bin Bi, Ming Yan, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-structbert-incorporating-language-structures-pre/)
169. **[Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.*2023 · 174 citations*
170. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
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176. **[Stronger Baselines for Trustable Results in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/denkowski-2017-stronger-baselines-trustable-results-neural/) [Workshop on Neural Machine Translation](https://md.research.elamur.ai/free/en/venues/workshop-on-neural-machine-translation/)**Michael Denkowski, Graham Neubig*2017 · 165 citations*
177. **[Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*
178. **[If beam search is the answer, what was the question?](https://md.research.elamur.ai/free/en/papers/meister-2020-if-beam-search-is-answer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Clara Meister, Ryan Cotterell, Tim Vieira*2020 · 163 citations*
179. **[Tuning Multilingual Transformers for Language-Specific Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/arkhipov-2019-tuning-multilingual-transformers-language-specific/) [Workshop on Balto-Slavic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-balto-slavic-natural-language-processing/)**Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, et al.*2019 · 163 citations*
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181. **[Norm-Based Curriculum Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/liu-2020-norm-based-curriculum-learning-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuebo Liu, Houtim Lai, Derek F. Wong, et al.*2020 · 158 citations*
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185. **[Effective Domain Mixing for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Denny Britz, Quoc Le, Reid Pryzant*2017 · 156 citations*
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187. [**Pre-Training BERT on Arabic Tweets: Practical Considerations arXiv:2102.10684**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/)
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189. [**Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models arXiv:2312.06585**Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/singh-2023-human-data-scaling-self-training/)
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