---
title: "Who cites GloVe: Global Vectors for Word Representation —…"
description: "5,962 papers of the Elamur Research library cite «GloVe: Global Vectors for Word Representation», found in their bibliographies · page 3 of 6 · 201–300…"
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---
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# Who cites «GloVe: Global Vectors for Word Representation»

5,962 papers of our library cite it (of the 140,884 whose bibliographies we read) · 514 with a page here, the most cited first · page 3 of 6 · 201–300 · [← the paper](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/)

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201. [**SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection**Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al.*2020 · 351 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2020-semeval-2020-task-1-unsupervised/)
202. [**An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis**Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.*2019 · 348 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-interactive-multi-task-learning-network/)
203. [**Do NLP Models Know Numbers? Probing Numeracy in Embeddings**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 348 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/)
204. [**SensEmbed: Learning Sense Embeddings for Word and Relational Similarity**Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli*2015 · 348 citations*](https://md.research.elamur.ai/free/en/papers/iacobacci-2015-sensembed-learning-sense-embeddings-word/)
205. [**RobBERT: a Dutch RoBERTa-based Language Model**Pieter Delobelle, Thomas Winters, Bettina Berendt*2020 · 346 citations*](https://md.research.elamur.ai/free/en/papers/delobelle-2020-robbert-dutch-roberta-based-language/)
206. [**Lessons from Natural Language Inference in the Clinical Domain**Alexey Romanov, Chaitanya Shivade*2018 · 343 citations*](https://md.research.elamur.ai/free/en/papers/romanov-2018-lessons-natural-language-inference-clinical/)
207. [**Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs**Yu. A. Malkov, D. A. Yashunin*2016 · 341 citations*](https://md.research.elamur.ai/free/en/papers/malkov-2016-efficient-robust-approximate-nearest-neighbor/)
208. [**Word-level Textual Adversarial Attacking as Combinatorial Optimization**Yuan Zang, Fanchao Qi, Chenghao Yang, et al.*2020 · 338 citations*](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/)
209. [**Certified Robustness to Adversarial Word Substitutions**Robin Jia, Aditi Raghunathan, Kerem Göksel, et al.*2019 · 336 citations*](https://md.research.elamur.ai/free/en/papers/jia-2019-certified-robustness-adversarial-word-substitutions/)
210. [**UL2: Unifying Language Learning Paradigms**Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.*2022 · 334 citations*](https://md.research.elamur.ai/free/en/papers/tay-2022-ul2-unifying-language-learning-paradigms/)
211. [**Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT**Akshay Smit, Saahil Jain, Pranav Rajpurkar, et al.*2020 · 334 citations*](https://md.research.elamur.ai/free/en/papers/smit-2020-combining-automatic-labelers-expert-annotations/)
212. [**Problems With Evaluation of Word Embeddings Using Word Similarity Tasks**Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, et al.*2016 · 332 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2016-problems-evaluation-word-embeddings-word/)
213. [**A Graph-to-Sequence Model for AMR-to-Text Generation**Linfeng Song, Yue Zhang, Zhiguo Wang, et al.*2018 · 329 citations*](https://md.research.elamur.ai/free/en/papers/song-2018-graph-sequence-model-amr-text/)
214. [**Poincaré Embeddings for Learning Hierarchical Representations**Maximilian Nickel, Douwe Kiela*2017 · 324 citations*](https://md.research.elamur.ai/free/en/papers/nickel-2017-poincare-embeddings-learning-hierarchical-representations/)
215. [**Probing Pretrained Language Models for Lexical Semantics**Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al.*2020 · 320 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/)
216. [**Improving Hypernymy Detection with an Integrated Path-based and Distributional Method**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/)
217. [**Text and Code Embeddings by Contrastive Pre-Training**Arvind Neelakantan, Tao Xu, Raul Puri, et al.*2022 · 316 citations*](https://md.research.elamur.ai/free/en/papers/neelakantan-2022-text-code-embeddings-contrastive-pre/)
218. [**The Web as a Knowledge-Base for Answering Complex Questions**Alon Talmor, Jonathan Berant*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2018-web-as-knowledge-base-answering/)
219. [**SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity**Daniela Gerz, Ivan Vulić, Felix Hill, et al.*2016 · 315 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2016-simverb-3500-large-scale-evaluation/)
220. [**Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI)**Elisabetta Fersini, Debora Nozza, Paolo Rosso*2018 · 314 citations*](https://md.research.elamur.ai/free/en/papers/fersini-2018-overview-evalita-2018-task-automatic/)
221. [**Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 313 citations*](https://md.research.elamur.ai/free/en/papers/castro-2019-towards-multimodal-sarcasm-detection-obviously/)
222. [**Improving Distributional Similarity with Lessons Learned from Word Embeddings**Omer Levy, Yoav Goldberg, Ido Dagan*2015 · 313 citations*](https://md.research.elamur.ai/free/en/papers/levy-2015-improving-distributional-similarity-lessons-learned/)
223. [**A Transformer-based approach to Irony and Sarcasm detection**Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis*2019 · 312 citations*](https://md.research.elamur.ai/free/en/papers/potamias-2019-transformer-based-approach-irony-sarcasm/)
224. [**Unsupervised Pretraining for Sequence to Sequence Learning**Prajit Ramachandran, Peter Liu, Quoc Le*2017 · 312 citations*](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/)
225. [**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/)
226. [**Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.**Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka*2016 · 311 citations*](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/)
227. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
228. [**Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM**Ivan Habernal, Iryna Gurevych*2016 · 302 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/)
229. [**DialogSum: A Real-Life Scenario Dialogue Summarization Dataset**Yulong Chen, Yang Liu, Liang Chen, et al.*2021 · 301 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/)
230. [**Abductive Commonsense Reasoning**Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/)
231. [**MoEL: Mixture of Empathetic Listeners**Zhaojiang Lin, Andrea Madotto, Jamin Shin, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-moel-mixture-empathetic-listeners/)
232. [**Learning to Write with Cooperative Discriminators**Ari Holtzman, Jan Buys, Maxwell Forbes, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/holtzman-2018-learning-write-cooperative-discriminators/)
233. [**Towards Debiasing Fact Verification Models**Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.*2019 · 296 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-debiasing-fact-verification-models/)
234. [**FlauBERT: Unsupervised Language Model Pre-training for French**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 293 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/)
235. [**Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement**Hua He, Jimmy Lin*2016 · 293 citations*](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/)
236. [**Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning**Yi Yang, Arzoo Katiyar*2020 · 291 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/)
237. [**Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack**Emily Dinan, Samuel Humeau, Bharath Chintagunta, et al.*2019 · 291 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2019-build-it-break-it-fix/)
238. [**Structural Scaffolds for Citation Intent Classification in Scientific Publications**Arman Cohan, Waleed Ammar, Madeleine van Zuylen, et al.*2019 · 287 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2019-structural-scaffolds-citation-intent-classification/)
239. [**Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**Jue Wang, Wei Lu*2020 · 286 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/)
240. [**Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language**Andy Zeng, Maria Attarian, Brian Ichter, et al.*2022 · 285 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-socratic-models-composing-zero-shot/)
241. [**ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning**Weihao Yu, Zihang Jiang, Yanfei Dong, et al.*2020 · 283 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-reclor-reading-comprehension-dataset-requiring/)
242. [**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/)
243. [**Diachronic word embeddings and semantic shifts: a survey**Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.*2018 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/)
244. [**Multi-Sentence Argument Linking**Seth Ebner, Patrick Xia, Ryan Culkin, et al.*2020 · 281 citations*](https://md.research.elamur.ai/free/en/papers/ebner-2020-multi-sentence-argument-linking/)
245. [**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/)
246. [**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/)
247. [**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/)
248. [**A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications**Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, et al.*2018 · 274 citations*](https://md.research.elamur.ai/free/en/papers/kang-2018-dataset-peer-reviews-peerread-collection/)
249. [**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/)
250. [**Simpler but More Accurate Semantic Dependency Parsing**Timothy Dozat, Christopher D. Manning*2018 · 271 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2018-simpler-but-more-accurate-semantic/)
251. [**DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*2022 · 269 citations*](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)
252. [**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/)
253. [**Handling Divergent Reference Texts when Evaluating Table-to-Text Generation**Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.*2019 · 266 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2019-handling-divergent-reference-texts-when/)
254. [**Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network**Yutai Hou, Wanxiang Che, Yongkui Lai, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/hou-2020-few-shot-slot-tagging-collapsed/)
255. [**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/)
256. [**An Analysis of Simple Data Augmentation for Named Entity Recognition**Xiang Dai, Heike Adel*2020 · 264 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/)
257. [**Towards Understanding and Mitigating Social Biases in Language Models**Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.*2021 · 263 citations*](https://md.research.elamur.ai/free/en/papers/liang-2021-towards-understanding-mitigating-social-biases/)
258. [**SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!**Chhavi Sharma, Deepesh Bhageria, William Scott, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-semeval-2020-task-8-memotion/)
259. [**Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge**Todor Mihaylov, Anette Frank*2018 · 260 citations*](https://md.research.elamur.ai/free/en/papers/mihaylov-2018-knowledgeable-reader-enhancing-cloze-style/)
260. [**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/)
261. [**Towards Debiasing Sentence Representations**Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.*2020 · 259 citations*](https://md.research.elamur.ai/free/en/papers/liang-2020-debiasing-sentence-representations/)
262. [**A Large Self-Annotated Corpus for Sarcasm**Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/khodak-2018-large-self-annotated-corpus-sarcasm/)
263. [**UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification**Andreas Hanselowski, Hao Zhang, Zile Li, et al.*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-ukp-athene-multi-sentence-textual/)
264. [**Multilingual is not enough: BERT for Finnish**Antti Virtanen, Jenna Kanerva, Rami Ilo, et al.*2019 · 256 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-multilingual-enough-bert-finnish/)
265. [**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/)
266. [**Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual**He He, Sheng Zha, Haohan Wang*2019 · 254 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/)
267. [**A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification**Ye Zhang, Byron Wallace*2017 · 254 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-sensitivity-analysis-practitioners-guide-convolutional/)
268. [**CorefQA: Coreference Resolution as Query-based Span Prediction**Wei Wu, Fei Wang, Arianna Yuan, et al.*2020 · 253 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-corefqa-coreference-resolution-as-query/)
269. [**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/)
270. [**ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation**Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, et al.*2021 · 251 citations*](https://md.research.elamur.ai/free/en/papers/malik-2021-ildc-cjpe-indian-legal-documents/)
271. [**Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models**Harsh Jhamtani, Varun Gangal, Eduard Hovy, et al.*2017 · 251 citations*](https://md.research.elamur.ai/free/en/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/)
272. [**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/)
273. [**Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings**Rishi Bommasani, Kelly Davis, Claire Cardie*2020 · 248 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2020-interpreting-pretrained-contextualized-representations-reductions/)
274. [**Linear Algebraic Structure of Word Senses, with Applications to Polysemy**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/arora-2018-linear-algebraic-structure-word-senses/)
275. [**Reasoning with Sarcasm by Reading In-Between**Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/)
276. [**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/)
277. [**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/)
278. [**CLUE: A Chinese Language Understanding Evaluation Benchmark**Liang Xu, Hai Hu, Xuanwei Zhang, et al.*2020 · 242 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-clue-chinese-language-understanding/)
279. [**A review of sentiment analysis research in Arabic language**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
280. [**EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing**Yue Dong, Zichao Li, Mehdi Rezagholizadeh, et al.*2019 · 241 citations*](https://md.research.elamur.ai/free/en/papers/dong-2019-editnts-neural-programmer-interpreter-model/)
281. [**Simplifying Lexical Simplification: Do We Need Simplified Corpora?**Goran Glavaš, Sanja Štajner*2015 · 241 citations*](https://md.research.elamur.ai/free/en/papers/glavas-2015-simplifying-lexical-simplification-do-we/)
282. [**Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports**Yuhao Zhang, Derek Merck, Emily Tsai, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/)
283. [**Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art**Patrick Lewis, Myle Ott, Jingfei Du, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/)
284. [**RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers**Bailin Wang, Richard Shin, Xiaodong Liu, et al.*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-rat-sql-relation-aware-schema/)
285. [**Classification and Clustering of Arguments with Contextualized Word Embeddings**Nils Reimers, Benjamin Schiller, Tilman Beck, et al.*2019 · 239 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2019-classification-clustering-arguments-contextualized-word/)
286. [**FUDGE: Controlled Text Generation With Future Discriminators**Kevin Yang, Dan Klein*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/)
287. [**Self-Guided Contrastive Learning for BERT Sentence Representations**Taeuk Kim, Kang Min Yoo, Sang-goo Lee*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-self-guided-contrastive-learning-bert/)
288. [**MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension**Alon Talmor, Jonathan Berant*2019 · 234 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-multiqa-empirical-investigation-generalization-transfer/)
289. [**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/)
290. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/)
291. [**Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation**Amit Moryossef, Yoav Goldberg, Ido Dagan*2019 · 230 citations*](https://md.research.elamur.ai/free/en/papers/moryossef-2019-step-step-separating-planning-realization/)
292. [**From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 230 citations*](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/)
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