---
title: "Conference on Empirical Methods in Natural… — works, page 4"
description: "703 works of Conference on Empirical Methods in Natural Language Processing (EMNLP) in our library · page 4 of 8, the most cited first."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/works/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/emnlp/works/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Conference on Empirical Methods in Natural…](https://md.research.elamur.ai/free/en/venues/emnlp/) / [works](https://md.research.elamur.ai/free/en/venues/emnlp/works/) / page 4

# Works of Conference on Empirical Methods in Natural Language Processing (EMNLP)

703 works · page 4 of 8 · the most cited first · [← Conference on Empirical Methods in Natural…](https://md.research.elamur.ai/free/en/venues/emnlp/)

[← prev](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/3/) [1](https://md.research.elamur.ai/free/en/venues/emnlp/works/) [2](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/2/) [3](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/5/) … [8](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/8/) [next →](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/5/)

301. [**Getting Gender Right in Neural Machine Translation**Eva Vanmassenhove, Christian Hardmeier, Andy Way*2018 · 281 citations*](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/)
302. [**Semantic Parsing for Task Oriented Dialog using Hierarchical Representations**Sonal Gupta, Rushin Shah, Mrinal Mohit, et al.*2018 · 280 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2018-semantic-parsing-task-oriented-dialog/)
303. [**Sentence Alignment for Monolingual Comparable Corpora**Regina Barzilay, Noemie Elhadad*2003 · 280 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2003-sentence-alignment-monolingual-comparable-corpora/)
304. [**ONION: A Simple and Effective Defense Against Textual Backdoor Attacks**Fanchao Qi, Yangyi Chen, Mukai Li, et al.*2021 · 279 citations*](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/)
305. [**Learning Neural Templates for Text Generation**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 279 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/)
306. [**Guided Open Vocabulary Image Captioning with Constrained Beam Search**Peter Anderson, Basura Fernando, Mark Johnson, et al.*2017 · 278 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2017-guided-open-vocabulary-image-captioning/)
307. [**XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation**Sebastian Ruder, Noah Constant, Jan Botha, et al.*2021 · 277 citations*](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/)
308. [**MIME: MIMicking Emotions for Empathetic Response Generation**Navonil Majumder, Pengfei Hong, Shanshan Peng, et al.*2020 · 277 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2020-mime-mimicking-emotions-empathetic-response/)
309. [**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/)
310. [**Text Classification Using Label Names Only: A Language Model Self-Training Approach**Yu Meng, Yunyi Zhang, Jiaxin Huang, et al.*2020 · 274 citations*](https://md.research.elamur.ai/free/en/papers/meng-2020-text-classification-label-names-only/)
311. [**A Diagnostic Study of Explainability Techniques for Text Classification**Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.*2020 · 273 citations*](https://md.research.elamur.ai/free/en/papers/atanasova-2020-diagnostic-study-explainability-techniques-text/)
312. [**POS Tagging of English-Hindi Code-Mixed Social Media Content**Yogarshi Vyas, Spandana Gella, Jatin Sharma, et al.*2014 · 273 citations*](https://md.research.elamur.ai/free/en/papers/vyas-2014-pos-tagging-english-hindi-code/)
313. [**Joint Entity and Event Coreference Resolution across Documents**Heeyoung Lee, Marta Recasens, Angel Chang, et al.*2012 · 273 citations*](https://md.research.elamur.ai/free/en/papers/lee-2012-joint-entity-event-coreference-resolution/)
314. [**Joint Unsupervised Coreference Resolution with Markov Logic**Hoifung Poon, Pedro Domingos*2008 · 272 citations*](https://md.research.elamur.ai/free/en/papers/poon-2008-joint-unsupervised-coreference-resolution-markov/)
315. [**Surface Form Competition: Why the Highest Probability Answer Isn't Always Right**Ari Holtzman, Peter West, Vered Shwartz, et al.*2021 · 271 citations*](https://md.research.elamur.ai/free/en/papers/holtzman-2021-surface-form-competition-why-highest/)
316. [**Adaptively Sparse Transformers**Gonçalo M. Correia, Vlad Niculae, André F. T. Martins*2019 · 270 citations*](https://md.research.elamur.ai/free/en/papers/correia-2019-adaptively-sparse-transformers/)
317. [**A Challenge Set Approach to Evaluating Machine Translation**Pierre Isabelle, Colin Cherry, George Foster*2017 · 269 citations*](https://md.research.elamur.ai/free/en/papers/isabelle-2017-challenge-set-approach-evaluating-machine/)
318. [**Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations**Emily Allaway, Kathleen McKeown*2020 · 268 citations*](https://md.research.elamur.ai/free/en/papers/allaway-2020-zero-shot-stance-detection-dataset/)
319. [**Attention is Not Only a Weight: Analyzing Transformers with Vector Norms**Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, et al.*2020 · 268 citations*](https://md.research.elamur.ai/free/en/papers/kobayashi-2020-attention-is-not-only-weight/)
320. [**Open Domain Targeted Sentiment**Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, et al.*2013 · 268 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2013-open-domain-targeted-sentiment/)
321. [**Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation**Emily Dinan, Angela Fan, Adina Williams, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/)
322. [**Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised**Stefanos Angelidis, Mirella Lapata*2018 · 265 citations*](https://md.research.elamur.ai/free/en/papers/angelidis-2018-summarizing-opinions-aspect-extraction-meets/)
323. [**A Continuously Growing Dataset of Sentential Paraphrases**Wuwei Lan, Siyu Qiu, Hua He, et al.*2017 · 265 citations*](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/)
324. [**Learning to Classify Email into “Speech Acts”**William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell*2004 · 264 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2004-learning-classify-email-into-speech/)
325. [**Condenser: a Pre-training Architecture for Dense Retrieval**Luyu Gao, Jamie Callan*2021 · 261 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/)
326. [**Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks**Haoyang Huang, Yaobo Liang, Nan Duan, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-unicoder-universal-language-encoder-pre/)
327. [**CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/)
328. [**Abstractive Summarization of Product Reviews Using Discourse Structure**Shima Gerani, Yashar Mehdad, Giuseppe Carenini, et al.*2014 · 260 citations*](https://md.research.elamur.ai/free/en/papers/gerani-2014-abstractive-summarization-product-reviews-discourse/)
329. [**A Simple Domain-Independent Probabilistic Approach to Generation**Gabor Angeli, Percy Liang, Dan Klein*2010 · 260 citations*](https://md.research.elamur.ai/free/en/papers/angeli-2010-simple-domain-independent-probabilistic-approach/)
330. [**Large Language Models for Data Annotation and Synthesis: A Survey**Zhen Tan, Dawei Li, Song Wang, et al.*2024 · 259 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)
331. [**On Extractive and Abstractive Neural Document Summarization with Transformer Language Models**Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/pilault-2020-extractive-abstractive-neural-document-summarization/)
332. [**Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing**Brian Thompson, Matt Post*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-automatic-machine-translation-evaluation-many/)
333. [**MAVEN: A Massive General Domain Event Detection Dataset**Xiaozhi Wang, Ziqi Wang, Xu Han, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/)
334. [**CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization**Shuyang Cao, Lu Wang*2021 · 257 citations*](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/)
335. [**RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking**Ruiyang Ren, Yingqi Qu, Jing Liu, et al.*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/)
336. [**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/)
337. [**The Multilingual Amazon Reviews Corpus**Phillip Keung, Yichao Lu, György Szarvas, et al.*2020 · 255 citations*](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/)
338. [**BLEU is Not Suitable for the Evaluation of Text Simplification**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 255 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-bleu-is-not-suitable-evaluation/)
339. [**Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates**Kazi Saidul Hasan, Vincent Ng*2014 · 254 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2014-why-are-you-taking-this/)
340. [**Revisiting Readability: A Unified Framework for Predicting Text Quality**Emily Pitler, Ani Nenkova*2008 · 253 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2008-revisiting-readability-unified-framework-predicting/)
341. [**GPT-RE: In-context Learning for Relation Extraction using Large Language Models**Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.*2023 · 252 citations*](https://md.research.elamur.ai/free/en/papers/wan-2023-gpt-re-context-learning-relation/)
342. [**Generating Datasets with Pretrained Language Models**Timo Schick, Hinrich Schutze*2021 · 250 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-generating-datasets-pretrained-language-models/)
343. [**Neural Cross-Lingual Named Entity Recognition with Minimal Resources**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/)
344. [**Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces**Anthony Rios, Ramakanth Kavuluru*2018 · 245 citations*](https://md.research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/)
345. [**Knowledge-Grounded Dialogue Generation with Pre-trained Language Models**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 244 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)
346. [**Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 244 citations*](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/)
347. [**Can You Unpack That? Learning to Rewrite Questions-in-Context**Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber*2019 · 244 citations*](https://md.research.elamur.ai/free/en/papers/elgohary-2019-can-you-unpack-that-learning/)
348. [**Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?**Hwee Tou Ng, Jin Kiat Low*2004 · 243 citations*](https://md.research.elamur.ai/free/en/papers/ng-2004-chinese-part-speech-tagging-one/)
349. [**Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations**Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/)
350. [**ZeroGen: Efficient Zero-shot Learning via Dataset Generation**Jiacheng Ye, Jiahui Gao, Qintong Li, et al.*2022 · 242 citations*](https://md.research.elamur.ai/free/en/papers/ye-2022-zerogen-efficient-zero-shot-learning/)
351. [**Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling**Xiaochuang Han, Jacob Eisenstein*2019 · 242 citations*](https://md.research.elamur.ai/free/en/papers/han-2019-unsupervised-domain-adaptation-contextualized-embeddings/)
352. [**Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge**Altaf Rahman, Vincent Ng*2012 · 241 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2012-resolving-complex-cases-definite-pronouns/)
353. [**ASQA: Factoid Questions Meet Long-Form Answers**Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.*2022 · 239 citations*](https://md.research.elamur.ai/free/en/papers/stelmakh-2022-asqa-factoid-questions-meet-long/)
354. [**MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/)
355. [**“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer**Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran*2019 · 239 citations*](https://md.research.elamur.ai/free/en/papers/sudhakar-2019-transforming-delete-retrieve-generate-approach/)
356. [**Towards Exploiting Background Knowledge for Building Conversation Systems**Nikita Moghe, Siddhartha Arora, Suman Banerjee, et al.*2018 · 238 citations*](https://md.research.elamur.ai/free/en/papers/moghe-2018-exploiting-background-knowledge-building-conversation/)
357. [**mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval**Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/)
358. [**Better Document-level Sentiment Analysis from RST Discourse Parsing**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/)
359. [**A Discrete Hard EM Approach for Weakly Supervised Question Answering**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/)
360. [**Decoupling Strategy and Generation in Negotiation Dialogues**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/)
361. [**A Study of Reinforcement Learning for Neural Machine Translation**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/)
362. [**A Corpus-Based Approach for Building Semantic Lexicons**Ellen Riloff, Jessica Shepherd*1997 · 229 citations*](https://md.research.elamur.ai/free/en/papers/riloff-1997-corpus-based-approach-building-semantic/)
363. [**Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies**Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.*2021 · 228 citations*](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/)
364. [**CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs**Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.*2020 · 228 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2020-ccaligned-massive-collection-cross-lingual/)
365. [**Cross-topic Argument Mining from Heterogeneous Sources**Christian Stab, Tristan Miller, Benjamin Schiller, et al.*2018 · 228 citations*](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/)
366. [**Broad-coverage CCG Semantic Parsing with AMR**Yoav Artzi, Kenton Lee, Luke Zettlemoyer*2015 · 228 citations*](https://md.research.elamur.ai/free/en/papers/artzi-2015-broad-coverage-ccg-semantic-parsing/)
367. [**Interpretation of Natural Language Rules in Conversational Machine Reading**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 225 citations*](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/)
368. [**MTNT: A Testbed for Machine Translation of Noisy Text**Paul Michel, Graham Neubig*2018 · 224 citations*](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/)
369. [**BLEU might be Guilty but References are not Innocent**Markus Freitag, David Grangier, Isaac Caswell*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2020-bleu-might-be-guilty-but/)
370. [**Unsupervised Models for Coreference Resolution**Vincent Ng*2008 · 223 citations*](https://md.research.elamur.ai/free/en/papers/ng-2008-unsupervised-models-coreference-resolution/)
371. [**SLURP: A Spoken Language Understanding Resource Package**Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, et al.*2020 · 222 citations*](https://md.research.elamur.ai/free/en/papers/bastianelli-2020-slurp-spoken-language-understanding-resource/)
372. [**The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 222 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/)
373. [**Joint prediction in MST-style discourse parsing for argumentation mining**Andreas Peldszus, Manfred Stede*2015 · 219 citations*](https://md.research.elamur.ai/free/en/papers/peldszus-2015-joint-prediction-mst-style-discourse/)
374. [**Unsupervised Question Decomposition for Question Answering**Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/perez-2020-unsupervised-question-decomposition-question-answering/)
375. [**Factual Error Correction for Abstractive Summarization Models**Meng Cao, Yue Dong, Jiapeng Wu, et al.*2020 · 217 citations*](https://md.research.elamur.ai/free/en/papers/cao-2020-factual-error-correction-abstractive-summarization/)
376. [**Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models**Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al.*2020 · 216 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-birds-have-four-legs-numersense/)
377. [**Measuring Association Between Labels and Free-Text Rationales**Sarah Wiegreffe, Ana Marasović, Noah A. Smith*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-measuring-association-between-labels-free/)
378. [**Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations**Jaehun Jung, Lianhui Qin, Sean Welleck, et al.*2022 · 213 citations*](https://md.research.elamur.ai/free/en/papers/jung-2022-maieutic-prompting-logically-consistent-reasoning/)
379. [**An Unsupervised Sentence Embedding Method by Mutual Information Maximization**Yan Zhang, Ruidan He, Zuozhu Liu, et al.*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-unsupervised-sentence-embedding-method-mutual/)
380. [**Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases**Yuval Marton, Chris Callison-Burch, Philip Resnik*2009 · 213 citations*](https://md.research.elamur.ai/free/en/papers/marton-2009-improved-statistical-machine-translation-monolingually/)
381. [**Are Word Embedding-based Features Useful for Sarcasm Detection?**Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.*2016 · 211 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/)
382. [**Answers Unite! Unsupervised Metrics for Reinforced Summarization Models**Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.*2019 · 210 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2019-answers-unite-unsupervised-metrics-reinforced/)
383. [**Compressing Context to Enhance Inference Efficiency of Large Language Models**Yucheng Li, Bo Dong, Frank Guerin, et al.*2023 · 208 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-compressing-context-enhance-inference-efficiency/)
384. [**Universal Decompositional Semantics on Universal Dependencies**Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al.*2016 · 208 citations*](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)
385. [**Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE**Yvette Graham*2015 · 208 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-re-evaluating-automatic-summarization-bleu/)
386. [**Active Example Selection for In-Context Learning**Yiming Zhang, Shi Feng, Chenhao Tan*2022 · 207 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-active-example-selection-context-learning/)
387. [**Explaining Answers with Entailment Trees**Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/)
388. [**Training Question Answering Models From Synthetic Data**Raul Puri, Ryan Spring, Mohammad Shoeybi, et al.*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/puri-2020-training-question-answering-models-synthetic/)
389. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
390. [**Search-o1: Agentic Search-Enhanced Large Reasoning Models**Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.*2025 · 205 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-search-o1-agentic-search-enhanced/)
391. [**Entities as Experts: Sparse Memory Access with Entity Supervision**Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.*2020 · 205 citations*](https://md.research.elamur.ai/free/en/papers/fevry-2020-entities-as-experts-sparse-memory/)
392. [**Towards a Unified Multi-Dimensional Evaluator for Text Generation**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/)
393. [**Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization**Jiaao Chen, Diyi Yang*2020 · 202 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-multi-view-sequence-sequence-models/)
394. [**SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
395. [**End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification**Jindřich Libovický, Jindřich Helcl*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/)
396. [**CTRLsum: Towards Generic Controllable Text Summarization**Junxian He, Wojciech Kryscinski, Bryan McCann, et al.*2022 · 199 citations*](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/)
397. [**Jointly Learning to Align and Translate with Transformer Models**Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.*2019 · 199 citations*](https://md.research.elamur.ai/free/en/papers/garg-2019-jointly-learning-align-translate-transformer/)
398. [**Neural Metaphor Detection in Context**Ge Gao, Eunsol Choi, Yejin Choi, et al.*2018 · 198 citations*](https://md.research.elamur.ai/free/en/papers/gao-2018-neural-metaphor-detection-context/)
399. [**Reasoning about Pragmatics with Neural Listeners and Speakers**Jacob Andreas, Dan Klein*2016 · 198 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2016-reasoning-about-pragmatics-neural-listeners/)
400. [**A General Framework for Distributional Similarity**Julie Weeds, David Weir*2003 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2003-general-framework-distributional-similarity/)

[← prev](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/3/) [1](https://md.research.elamur.ai/free/en/venues/emnlp/works/) [2](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/2/) [3](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/3/) **4** [5](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/5/) … [8](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/8/) [next →](https://md.research.elamur.ai/free/en/venues/emnlp/works/page/5/)

- [← back to](https://md.research.elamur.ai/free/en/venues/emnlp/) — Conference on Empirical Methods in Natural Language Processing (EMNLP)