---
title: "Language and Linguistics — papers, page 4"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 4 of 93 · 226–325, the most cited first — our summary of each, its ideas…"
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---
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# 🗣️ Language and Linguistics

9,206 papers · page 4 of 93 · 226–325 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/3/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) [2](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/3/) **4** [5](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/5/) … [10](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/10/) … [93](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/93/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/5/)

226. [**ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks**Fabrizio Gilardi, Meysam Alizadeh, Maël Kubli*2023 · 1,533 citations*](https://md.research.elamur.ai/free/en/papers/gilardi-2023-chatgpt-outperforms-crowd-workers-text/)
227. [**Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition**Erik F. Tjong Kim Sang, Fien De Meulder*2003 · 1,530 citations*](https://md.research.elamur.ai/free/en/papers/sang-2003-introduction-conll-2003-shared-task/)
228. [**VisualBERT: A Simple and Performant Baseline for Vision and Language**Liunian Harold Li, Mark Yatskar, Da Yin, et al.*2019 · 1,525 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/)
229. [**Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context**Gemini Team, Petko Georgiev, Ving Ian Lei, et al.*2024 · 1,522 citations*](https://md.research.elamur.ai/free/en/papers/gemini-team-2024-gemini-1-5-unlocking-multimodal/)
230. [**Efficient Transformers: A Survey**Yi Tay, Mostafa Dehghani, Dara Bahri, et al.*2020 · 1,522 citations*](https://md.research.elamur.ai/free/en/papers/tay-2020-efficient-transformers-survey/)
231. [**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 · 1,520 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/)
232. [**Multi-Task Deep Neural Networks for Natural Language Understanding**Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.*2019 · 1,511 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/)
233. [**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 · 1,509 citations*](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/)
234. [**How Can We Know What Language Models Know?**Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.*2020 · 1,501 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2020-how-can-we-know-what/)
235. [**CLIPScore: A Reference-free Evaluation Metric for Image Captioning**Jack Hessel, Ari Holtzman, Maxwell Forbes, et al.*2021 · 1,499 citations*](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/)
236. [**Multiword Expressions: A Pain in the Neck for NLP**Ivan A. Sag, Timothy Baldwin, Francis Bond, et al.*2002 · 1,497 citations*](https://md.research.elamur.ai/free/en/papers/sag-2002-multiword-expressions-pain-neck-nlp/)
237. [**Deep Reinforcement Learning for Dialogue Generation**Jiwei Li, Will Monroe, Alan Ritter, et al.*2016 · 1,495 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/)
238. [**The State and Fate of Linguistic Diversity and Inclusion in the NLP World**Pratik Joshi, Sebastin Santy, Amar Budhiraja, et al.*2020 · 1,494 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/)
239. [**LEGAL-BERT: The Muppets straight out of Law School**Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.*2020 · 1,493 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2020-legal-bert-muppets-straight-out/)
240. [**Pre-Training with Whole Word Masking for Chinese BERT**Yiming Cui, Wanxiang Che, Ting Liu, et al.*2019 · 1,490 citations*](https://md.research.elamur.ai/free/en/papers/cui-2019-pre-training-whole-word-masking/)
241. [**Automatic Word Sense Discrimination**Hinrich Schütze*1998 · 1,486 citations*](https://md.research.elamur.ai/free/en/papers/schutze-1998-automatic-word-sense-discrimination/)
242. [**Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts**George Lakoff*1973 · 1,486 citations*](https://md.research.elamur.ai/free/en/papers/lakoff-1973-hedges-study-meaning-criteria/)
243. [**The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation**George Doddington, Alexis Mitchell, Mark Przybocki, et al.*2004 · 1,470 citations*](https://md.research.elamur.ai/free/en/papers/doddington-2004-automatic-content-extraction-ace-program/)
244. [**BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation**Junnan Li, Dongxu Li, Caiming Xiong, et al.*2022 · 1,469 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-blip-bootstrapping-language-image-pre/)
245. [**Improved Statistical Alignment Models**Franz Josef Och, Hermann Ney*2000 · 1,467 citations*](https://md.research.elamur.ai/free/en/papers/och-2000-improved-statistical-alignment-models/)
246. [**Sentiment Analysis of Twitter Data**Apoorv Agarwal, Boyi Xie, Ilia Vovsha, et al.*2011 · 1,461 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2011-sentiment-analysis-twitter-data/)
247. [**Discriminative Training and Maximum Entropy Models for Statistical Machine Translation**Franz Josef Och, Hermann Ney*2002 · 1,461 citations*](https://md.research.elamur.ai/free/en/papers/och-2002-discriminative-training-maximum-entropy-models/)
248. [**Open Information Extraction from the Web**Michele Banko, Michael J. Cafarella, Stephen Soderland, et al.*2007 · 1,459 citations*](https://md.research.elamur.ai/free/en/papers/banko-2007-open-information-extraction-web/)
249. [**Named Entity Recognition in Tweets: An Experimental Study**Alan Ritter, Sam Clark, Mausam, et al.*2011 · 1,456 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2011-named-entity-recognition-tweets-experimental/)
250. [**GLM: General Language Model Pretraining with Autoregressive Blank Infilling**Zhengxiao Du, Yujie Qian, Xiao Liu, et al.*2022 · 1,452 citations*](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/)
251. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*2000 · 1,450 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/)
252. [**SemEval-2015 Task 12: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2015 · 1,448 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2015-semeval-2015-task-12-aspect/)
253. [**A Probabilistic Earley Parser as a Psycholinguistic Model**John Hale*2001 · 1,448 citations*](https://md.research.elamur.ai/free/en/papers/hale-2001-probabilistic-earley-parser-as-psycholinguistic/)
254. [**Sequence-Level Knowledge Distillation**Yoon Kim, Alexander M. Rush*2016 · 1,445 citations*](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/)
255. [**ELAN: a Professional Framework for Multimodality Research**Peter Wittenburg, Hennie Brugman, Albert Russel, et al.*2006 · 1,427 citations*](https://md.research.elamur.ai/free/en/papers/wittenburg-2006-elan-professional-framework-multimodality-research/)
256. [**CoNLL-X Shared Task on Multilingual Dependency Parsing**Sabine Buchholz, Erwin Marsi*2006 · 1,426 citations*](https://md.research.elamur.ai/free/en/papers/buchholz-2006-conll-x-shared-task-multilingual/)
257. [**Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?**Sewon Min, Xinxi Lyu, Ari Holtzman, et al.*2022 · 1,425 citations*](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/)
258. [**Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects**Jianmo Ni, Jiacheng Li, Julian McAuley*2019 · 1,424 citations*](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/)
259. [**Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions**Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.*2011 · 1,420 citations*](https://md.research.elamur.ai/free/en/papers/socher-2011-semi-supervised-recursive-autoencoders-predicting/)
260. [**Language-agnostic BERT Sentence Embedding**Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.*2020 · 1,413 citations*](https://md.research.elamur.ai/free/en/papers/feng-2020-language-agnostic-bert-sentence-embedding/)
261. [**Unified Language Model Pre-training for Natural Language Understanding and Generation**Li Dong, Nan Yang, Wenhui Wang, et al.*2019 · 1,406 citations*](https://md.research.elamur.ai/free/en/papers/dong-2019-unified-language-model-pre-training/)
262. [**Sequence Transduction with Recurrent Neural Networks**Alex Graves*2012 · 1,406 citations*](https://md.research.elamur.ai/free/en/papers/graves-2012-sequence-transduction-recurrent-neural-networks/)
263. [**Code Llama: Open Foundation Models for Code**Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.*2024 · 1,399 citations*](https://md.research.elamur.ai/free/en/papers/roziere-2024-code-llama-open-foundation-models/)
264. [**Contextual String Embeddings for Sequence Labeling**Alan Akbik, Duncan Blythe, Roland Vollgraf*2018 · 1,398 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/)
265. [**Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data**Emily M. Bender, Alexander Koller*2020 · 1,375 citations*](https://md.research.elamur.ai/free/en/papers/bender-2020-climbing-nlu-meaning-form-understanding/)
266. [**NLTK: The Natural Language Toolkit**Steven Bird*2006 · 1,374 citations*](https://md.research.elamur.ai/free/en/papers/bird-2006-nltk-natural-language-toolkit/)
267. [**brat: a Web-based Tool for NLP-Assisted Text Annotation**Pontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.*2012 · 1,368 citations*](https://md.research.elamur.ai/free/en/papers/stenetorp-2012-brat-web-based-tool-nlp/)
268. [**wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations**Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.*2020 · 1,366 citations*](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/)
269. [**Let's Verify Step by Step**Hunter Lightman, Vineet Kosaraju, Yura Burda, et al.*2023 · 1,361 citations*](https://md.research.elamur.ai/free/en/papers/lightman-2023-let-s-verify-step-step/)
270. [**Improving Word Representations via Global Context and Multiple Word Prototypes**Eric Huang, Richard Socher, Christopher Manning, et al.*2012 · 1,357 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-improving-word-representations-global-context/)
271. [**Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification**Duyu Tang, Furu Wei, Nan Yang, et al.*2014 · 1,346 citations*](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/)
272. [**Sequence Level Training with Recurrent Neural Networks**Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.*2015 · 1,338 citations*](https://md.research.elamur.ai/free/en/papers/ranzato-2015-sequence-level-training-recurrent-neural/)
273. [**Optimizing Semantic Coherence in Topic Models**David Mimno, Hanna Wallach, Edmund Talley, et al.*2011 · 1,338 citations*](https://md.research.elamur.ai/free/en/papers/mimno-2011-optimizing-semantic-coherence-topic-models/)
274. [**Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons**Andrew McCallum, Wei Li*2003 · 1,336 citations*](https://md.research.elamur.ai/free/en/papers/mccallum-2003-early-results-named-entity-recognition/)
275. [**LaMDA: Language Models for Dialog Applications**Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.*2022 · 1,326 citations*](https://md.research.elamur.ai/free/en/papers/thoppilan-2022-lamda-language-models-dialog-applications/)
276. [**Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment**Di Jin, Zhijing Jin, Joey Tianyi Zhou, et al.*2019 · 1,326 citations*](https://md.research.elamur.ai/free/en/papers/jin-2019-bert-really-robust-strong-baseline/)
277. [**Parameter-efficient fine-tuning of large-scale pre-trained language models**Ning Ding, Yujia Qin, Guang You Yang, et al.*2023 · 1,324 citations*](https://md.research.elamur.ai/free/en/papers/ding-2023-parameter-efficient-fine-tuning-large/)
278. [**Deep Biaffine Attention for Neural Dependency Parsing**Timothy Dozat, Christopher D. Manning*2016 · 1,323 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2016-deep-biaffine-attention-neural-dependency/)
279. [**Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation**Nils Reimers, Iryna Gurevych*2020 · 1,320 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2020-making-monolingual-sentence-embeddings-multilingual/)
280. [**DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing**Pengcheng He, Jianfeng Gao, Weizhu Chen*2021 · 1,316 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/)
281. [**Language Modeling with Gated Convolutional Networks**Yann N. Dauphin, Angela Fan, Michael Auli, et al.*2016 · 1,315 citations*](https://md.research.elamur.ai/free/en/papers/dauphin-2016-language-modeling-gated-convolutional-networks/)
282. [**Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking**Eugene Charniak, Mark Johnson*2005 · 1,312 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2005-coarse-fine-n-best-parsing/)
283. [**Long Short-Term Memory-Networks for Machine Reading**Jianpeng Cheng, Li Dong, Mirella Lapata*2016 · 1,307 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2016-long-short-term-memory-networks/)
284. [**AraBERT: Transformer-based Model for Arabic Language Understanding**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,302 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/)
285. [**BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions**Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.*2019 · 1,301 citations*](https://md.research.elamur.ai/free/en/papers/clark-2019-boolq-exploring-surprising-difficulty-natural/)
286. [**A Machine Learning Approach to Coreference Resolution of Noun Phrases**Wee Meng Soon, Hwee Tou Ng, Daniel Chung Yong Lim*2001 · 1,289 citations*](https://md.research.elamur.ai/free/en/papers/soon-2001-machine-learning-approach-coreference-resolution/)
287. [**COMET: Commonsense Transformers for Automatic Knowledge Graph Construction**Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.*2019 · 1,287 citations*](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/)
288. [**A Comprehensive Overview of Large Language Models**Humza Naveed, Asad Ullah Khan, Shi Qiu, et al.*2023 · 1,286 citations*](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/)
289. [**A Program for Aligning Sentences in Bilingual Corpora**William A. Gale, Kenneth W. Church*1993 · 1,284 citations*](https://md.research.elamur.ai/free/en/papers/gale-1993-program-aligning-sentences-bilingual-corpora/)
290. [**ReferItGame: Referring to Objects in Photographs of Natural Scenes**Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, et al.*2014 · 1,282 citations*](https://md.research.elamur.ai/free/en/papers/kazemzadeh-2014-referitgame-referring-objects-photographs-natural/)
291. [**CTRL: A Conditional Transformer Language Model for Controllable Generation**Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.*2019 · 1,280 citations*](https://md.research.elamur.ai/free/en/papers/keskar-2019-ctrl-conditional-transformer-language-model/)
292. [**End-to-end Neural Coreference Resolution**Kenton Lee, Luheng He, Mike Lewis, et al.*2017 · 1,280 citations*](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)
293. [**Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts**Cícero dos Santos, Maíra Gatti*2014 · 1,279 citations*](https://md.research.elamur.ai/free/en/papers/santos-2014-deep-convolutional-neural-networks-sentiment/)
294. [**Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 1,273 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-diachronic-word-embeddings-reveal-statistical/)
295. [**CamemBERT: a Tasty French Language Model**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.*2019 · 1,267 citations*](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/)
296. [**The Rise and Potential of Large Language Model Based Agents: A Survey**Zhiheng Xi, Wenxiang Chen, Xin Guo, et al.*2023 · 1,264 citations*](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/)
297. [**Non-Projective Dependency Parsing using Spanning Tree Algorithms**Ryan McDonald, Fernando Pereira, Kiril Ribarov, et al.*2005 · 1,259 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-non-projective-dependency-parsing-spanning/)
298. [**Neural Responding Machine for Short-Text Conversation**Lifeng Shang, Zhengdong Lu, Hang Li*2015 · 1,253 citations*](https://md.research.elamur.ai/free/en/papers/shang-2015-neural-responding-machine-short-text/)
299. [**Learning Accurate, Compact, and Interpretable Tree Annotation**Slav Petrov, Leon Barrett, Romain Thibaux, et al.*2006 · 1,244 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2006-learning-accurate-compact-interpretable-tree/)
300. [**Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*2016 · 1,243 citations*](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/)
301. [**What Makes Good In-Context Examples for GPT-3?**Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al.*2022 · 1,238 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-what-makes-good-context-examples/)
302. [**Latent Retrieval for Weakly Supervised Open Domain Question Answering**Kenton Lee, Ming-Wei Chang, Kristina Toutanova*2019 · 1,236 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/)
303. [**A Structural Probe for Finding Syntax in Word Representations**John Hewitt, Christopher D. Manning*2019 · 1,232 citations*](https://md.research.elamur.ai/free/en/papers/hewitt-2019-structural-probe-finding-syntax-word/)
304. [**Publicly Available Clinical BERT Embeddings**Emily Alsentzer, John R. Murphy, Willie Boag, et al.*2019 · 1,226 citations*](https://md.research.elamur.ai/free/en/papers/alsentzer-2019-publicly-available-clinical-bert-embeddings/)
305. [**PIQA: Reasoning about Physical Commonsense in Natural Language**Yonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.*2019 · 1,220 citations*](https://md.research.elamur.ai/free/en/papers/bisk-2019-piqa-reasoning-about-physical-commonsense/)
306. [**Learning Extraction Patterns for Subjective Expressions**Ellen Riloff, Janyce Wiebe*2003 · 1,219 citations*](https://md.research.elamur.ai/free/en/papers/riloff-2003-learning-extraction-patterns-subjective-expressions/)
307. [**An Empirical Study of Smoothing Techniques for Language Modeling**Stanley F. Chen, Joshua Goodman*1996 · 1,217 citations*](https://md.research.elamur.ai/free/en/papers/chen-1996-empirical-study-smoothing-techniques-language/)
308. [**Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification**Li Dong, Furu Wei, Chuanqi Tan, et al.*2014 · 1,216 citations*](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/)
309. [**FastText.zip: Compressing text classification models**Armand Joulin, Edouard Grave, Piotr Bojanowski, et al.*2016 · 1,214 citations*](https://md.research.elamur.ai/free/en/papers/joulin-2016-fasttext-zip-compressing-text-classification/)
310. [**Online Large-Margin Training of Dependency Parsers**Ryan McDonald, Koby Crammer, Fernando Pereira*2005 · 1,212 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-online-large-margin-training-dependency/)
311. [**Recipes for Building an Open-Domain Chatbot**Stephen Roller, Emily Dinan, Naman Goyal, et al.*2021 · 1,208 citations*](https://md.research.elamur.ai/free/en/papers/roller-2021-recipes-building-open-domain-chatbot/)
312. [**DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset**Yanran Li, Hui Su, Xiaoyu Shen, et al.*2017 · 1,202 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-dailydialog-manually-labelled-multi-turn/)
313. [**Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems**Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.*2015 · 1,200 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-semantically-conditioned-lstm-based-natural/)
314. [**SemEval-2016 Task 6: Detecting Stance in Tweets**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, et al.*2016 · 1,199 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/)
315. [**Opinion Word Expansion and Target Extraction through Double Propagation**Guang Qiu, Bing Liu, Jiajun Bu, et al.*2011 · 1,197 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2011-opinion-word-expansion-target-extraction/)
316. [**M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation**Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.*2024 · 1,196 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-m3-embedding-multi-linguality/)
317. [**Attention is not not Explanation**Sarah Wiegreffe, Yuval Pinter*2019 · 1,196 citations*](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/)
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