---
title: "Artificial Intelligence — papers, page 18 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 18 of 90 · 1626–1725, the most cited first — our summary of each…"
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---
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# 🤖 Artificial Intelligence

8,885 papers · page 18 of 90 · 1626–1725 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers (8,885)

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1626. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
1627. [**GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge**Luyao Huang, Chi Sun, Xipeng Qiu, et al.*2019 · 365 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/)
1628. [**Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring**Fei Dong, Yue Zhang, Jie Yang*2017 · 365 citations*](https://md.research.elamur.ai/free/en/papers/dong-2017-attention-based-recurrent-convolutional-neural/)
1629. [**The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation**Barbara Plank*2022 · 364 citations*](https://md.research.elamur.ai/free/en/papers/plank-2022-problem-human-label-variation-ground/)
1630. [**Identifying and Reducing Gender Bias in Word-Level Language Models**Shikha Bordia, Samuel R. Bowman*2019 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bordia-2019-identifying-reducing-gender-bias-word/)
1631. [**Combining Language and Vision with a Multimodal Skip-gram Model**Angeliki Lazaridou, Nghia The Pham, Marco Baroni*2015 · 364 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/)
1632. [**A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing**Bernd Bohnet, Joakim Nivre*2012 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2012-transition-based-system-joint-part/)
1633. [**Adaptive Attention Span in Transformers**Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, et al.*2019 · 363 citations*](https://md.research.elamur.ai/free/en/papers/sukhbaatar-2019-adaptive-attention-span-transformers/)
1634. [**The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 363 citations*](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/)
1635. [**The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery**Chris Lu, Cong Lu, Robert Tjarko Lange, et al.*2024 · 362 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/)
1636. [**Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification**Shengding Hu, Ning Ding, Huadong Wang, et al.*2022 · 362 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/)
1637. [**Revisiting Few-sample BERT Fine-tuning**Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.*2020 · 362 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-revisiting-few-sample-bert-fine/)
1638. [**Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO**Michael Färber, Frederic Bartscherer, Carsten Menne, et al.*2018 · 362 citations*](https://md.research.elamur.ai/free/en/papers/farber-2018-linked-data-quality-dbpedia-freebase/)
1639. [**TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.*2020 · 361 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/)
1640. [**How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks**Divyansh Kaushik, Zachary C. Lipton*2018 · 361 citations*](https://md.research.elamur.ai/free/en/papers/kaushik-2018-how-much-reading-does-reading/)
1641. [**A Statistical Model for Domain-Independent Text Segmentation**Masao Utiyama, Hitoshi Isahara*2001 · 361 citations*](https://md.research.elamur.ai/free/en/papers/utiyama-2001-statistical-model-domain-independent-text/)
1642. [**BERTje: A Dutch BERT Model**Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, et al.*2019 · 360 citations*](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/)
1643. [**HotFlip: White-Box Adversarial Examples for Text Classification**Javid Ebrahimi, Anyi Rao, Daniel Lowd, et al.*2018 · 360 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2018-hotflip-white-box-adversarial-examples/)
1644. [**Visual Attention Model for Name Tagging in Multimodal Social Media**Di Lu, Leonardo Neves, Vitor Carvalho, et al.*2018 · 360 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-visual-attention-model-name-tagging/)
1645. [**emoji2vec: Learning Emoji Representations from their Description**Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, et al.*2016 · 360 citations*](https://md.research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/)
1646. [**Scaling Semantic Parsers with On-the-Fly Ontology Matching**Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, et al.*2013 · 360 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2013-scaling-semantic-parsers-fly-ontology/)
1647. [**Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation**Deyi Xiong, Qun Liu, Shouxun Lin*2006 · 360 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2006-maximum-entropy-based-phrase-reordering/)
1648. [**Tracking Point of View in Narrative**Janyce M. Wiebe*1994 · 360 citations*](https://md.research.elamur.ai/free/en/papers/wiebe-1994-tracking-point-view-narrative/)
1649. [**Datasets: A Community Library for Natural Language Processing**Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.*2021 · 359 citations*](https://md.research.elamur.ai/free/en/papers/lhoest-2021-datasets-community-library-natural-language/)
1650. [**Adversarial Training for Unsupervised Bilingual Lexicon Induction**Meng Zhang, Yang Liu, Huanbo Luan, et al.*2017 · 359 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-adversarial-training-unsupervised-bilingual-lexicon/)
1651. [**Question Answering on Freebase via Relation Extraction and Textual Evidence**Kun Xu, Siva Reddy, Yansong Feng, et al.*2016 · 359 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-question-answering-freebase-relation-extraction/)
1652. [**The Media Frames Corpus: Annotations of Frames Across Issues**Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.*2015 · 359 citations*](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/)
1653. [**A Unified Model for Word Sense Representation and Disambiguation**Xinxiong Chen, Zhiyuan Liu, Maosong Sun*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/)
1654. [**Random Walks for Knowledge-Based Word Sense Disambiguation**Eneko Agirre, Oier López de Lacalle, Aitor Soroa*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-random-walks-knowledge-based-word/)
1655. [**Varieties of conventional implicature**Elin McCready*2010 · 359 citations*](https://md.research.elamur.ai/free/en/papers/mccready-2010-varieties-conventional-implicature/)
1656. [**Arabic Preprocessing Schemes for Statistical Machine Translation**Nizar Habash, Fatiha Sadat*2006 · 359 citations*](https://md.research.elamur.ai/free/en/papers/habash-2006-arabic-preprocessing-schemes-statistical-machine/)
1657. [**Orca: Progressive Learning from Complex Explanation Traces of GPT-4**Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.*2023 · 358 citations*](https://md.research.elamur.ai/free/en/papers/mukherjee-2023-orca-progressive-learning-complex-explanation/)
1658. [**Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor**Or Honovich, Thomas Scialom, Omer Levy, et al.*2023 · 358 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2023-unnatural-instructions-tuning-language-models/)
1659. [**BRIO: Bringing Order to Abstractive Summarization**Yixin Liu, Pengfei Liu, Dragomir Radev, et al.*2022 · 358 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/)
1660. [**Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns**Kellie Webster, Marta Recasens, Vera Axelrod, et al.*2018 · 358 citations*](https://md.research.elamur.ai/free/en/papers/webster-2018-mind-gap-balanced-corpus-gendered/)
1661. [**Universal Neural Machine Translation for Extremely Low Resource Languages**Jiatao Gu, Hany Hassan, Jacob Devlin, et al.*2018 · 358 citations*](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/)
1662. [**Experiments with a Higher-Order Projective Dependency Parser**Xavier Carreras*2007 · 358 citations*](https://md.research.elamur.ai/free/en/papers/carreras-2007-experiments-higher-order-projective-dependency/)
1663. [**Parameter-Efficient Transfer Learning with Diff Pruning**Demi Guo, Alexander Rush, Yoon Kim*2021 · 357 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/)
1664. [**Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence**Chi Sun, Luyao Huang, Xipeng Qiu*2019 · 357 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-utilizing-bert-aspect-based-sentiment/)
1665. [**Adversarial Removal of Demographic Attributes from Text Data**Yanai Elazar, Yoav Goldberg*2018 · 357 citations*](https://md.research.elamur.ai/free/en/papers/elazar-2018-adversarial-removal-demographic-attributes-text/)
1666. [**Non-Projective Dependency Parsing in Expected Linear Time**Joakim Nivre*2009 · 357 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2009-non-projective-dependency-parsing-expected/)
1667. [**Robust Pronoun Resolution with Limited Knowledge**Ruslan Mitkov*1998 · 357 citations*](https://md.research.elamur.ai/free/en/papers/mitkov-1998-robust-pronoun-resolution-limited-knowledge/)
1668. [**XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation**Yaobo Liang, Nan Duan, Yeyun Gong, et al.*2020 · 356 citations*](https://md.research.elamur.ai/free/en/papers/liang-2020-xglue-new-benchmark-dataset-cross/)
1669. [**CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB**Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.*2019 · 356 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/)
1670. [**Multilingual Constituency Parsing with Self-Attention and Pre-Training**Nikita Kitaev, Steven Cao, Dan Klein*2019 · 356 citations*](https://md.research.elamur.ai/free/en/papers/kitaev-2019-multilingual-constituency-parsing-self-attention/)
1671. [**Edinburgh Neural Machine Translation Systems for WMT 16**Rico Sennrich, Barry Haddow, Alexandra Birch*2016 · 356 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-edinburgh-neural-machine-translation-systems/)
1672. [**A Phrase-Based Statistical Model for SMS Text Normalization**AiTi Aw, Min Zhang, Juan Xiao, et al.*2006 · 356 citations*](https://md.research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/)
1673. [**Probabilistic Text Structuring: Experiments with Sentence Ordering**Mirella Lapata*2003 · 356 citations*](https://md.research.elamur.ai/free/en/papers/lapata-2003-probabilistic-text-structuring-experiments-sentence/)
1674. [**Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference**Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.*2024 · 355 citations*](https://md.research.elamur.ai/free/en/papers/warner-2024-smarter-better-faster-longer-modern/)
1675. [**Towards Understanding Sycophancy in Language Models**Mrinank Sharma, Meg Tong, Tomasz Korbak, et al.*2023 · 355 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2023-towards-understanding-sycophancy-language-models/)
1676. [**Synthetic QA Corpora Generation with Roundtrip Consistency**Chris Alberti, Daniel Andor, Emily Pitler, et al.*2019 · 355 citations*](https://md.research.elamur.ai/free/en/papers/alberti-2019-synthetic-qa-corpora-generation-roundtrip/)
1677. [**Averaging Weights Leads to Wider Optima and Better Generalization**Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, et al.*2018 · 355 citations*](https://md.research.elamur.ai/free/en/papers/izmailov-2018-averaging-weights-leads-wider-optima/)
1678. [**Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback**Baolin Peng, Michel Galley, Pengcheng He, et al.*2023 · 354 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-check-facts-try-again-improving/)
1679. [**QuestEval: Summarization Asks for Fact-based Evaluation**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2021 · 354 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2021-questeval-summarization-asks-fact-based/)
1680. [**Integrating Graph-Based and Transition-Based Dependency Parsers**Joakim Nivre, Ryan McDonald*2008 · 354 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2008-integrating-graph-based-transition-based/)
1681. [**Using “Annotator Rationales” to Improve Machine Learning for Text Categorization**Omar Zaidan, Jason Eisner, Christine Piatko*2007 · 354 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2007-annotator-rationales-improve-machine-learning/)
1682. [**Learning Non-Isomorphic Tree Mappings for Machine Translation**Jason Eisner*2003 · 354 citations*](https://md.research.elamur.ai/free/en/papers/eisner-2003-learning-non-isomorphic-tree-mappings/)
1683. [**Characterizing Structural Descriptions Produced by Various Grammatical Formalisms**K. Vijay-Shanker, David J. Weir, Aravind K. Joshi*1987 · 354 citations*](https://md.research.elamur.ai/free/en/papers/shanker-1987-characterizing-structural-descriptions-produced-various/)
1684. [**Query2doc: Query Expansion with Large Language Models**Liang Wang, Nan Yang, Furu Wei*2023 · 353 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/)
1685. [**Large Language Models Struggle to Learn Long-Tail Knowledge**Nikhil Kandpal, Haikang Deng, Adam Roberts, et al.*2022 · 353 citations*](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/)
1686. [**Exploring Neural Text Simplification Models**Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, et al.*2017 · 353 citations*](https://md.research.elamur.ai/free/en/papers/nisioi-2017-exploring-neural-text-simplification-models/)
1687. [**A Shared Task on Multimodal Machine Translation and Crosslingual Image Description**Lucia Specia, Stella Frank, Khalil Sima'an, et al.*2016 · 353 citations*](https://md.research.elamur.ai/free/en/papers/specia-2016-shared-task-multimodal-machine-translation/)
1688. [**HILDA: A Discourse Parser Using Support Vector Machine Classification**Hugo Hernault, Helmut Prendinger, David A. du Verle, et al.*2010 · 353 citations*](https://md.research.elamur.ai/free/en/papers/hernault-2010-hilda-discourse-parser-support-vector/)
1689. [**Understanding the Value of Features for Coreference Resolution**Eric Bengtson, Dan Roth*2008 · 353 citations*](https://md.research.elamur.ai/free/en/papers/bengtson-2008-understanding-value-features-coreference-resolution/)
1690. [**BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset**Jiaming Ji, Mickel Liu, Juntao Dai, et al.*2023 · 352 citations*](https://md.research.elamur.ai/free/en/papers/ji-2023-beavertails-towards-improved-safety-alignment/)
1691. [**Towards Mitigating LLM Hallucination via Self Reflection**Ziwei Ji, Tiezheng Yu, Yan Xu, et al.*2023 · 352 citations*](https://md.research.elamur.ai/free/en/papers/ji-2023-mitigating-llm-hallucination-self-reflection/)
1692. [**Improving alignment of dialogue agents via targeted human judgements**Amelia Glaese, Nat McAleese, Maja Trębacz, et al.*2022 · 352 citations*](https://md.research.elamur.ai/free/en/papers/glaese-2022-improving-alignment-dialogue-agents-targeted/)
1693. [**FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization**Esin Durmus, He He, Mona Diab*2020 · 352 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2020-feqa-question-answering-evaluation-framework/)
1694. [**FiLM: Visual Reasoning with a General Conditioning Layer**Ethan Perez, Florian Strub, Harm de Vries, et al.*2017 · 352 citations*](https://md.research.elamur.ai/free/en/papers/perez-2017-film-visual-reasoning-general-conditioning/)
1695. [**What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2016 · 352 citations*](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/)
1696. [**Zero-Resource Translation with Multi-Lingual Neural Machine Translation**Orhan Firat, Baskaran Sankaran, Yaser Al-onaizan, et al.*2016 · 352 citations*](https://md.research.elamur.ai/free/en/papers/firat-2016-zero-resource-translation-multi-lingual/)
1697. [**A Corpus for Research on Deliberation and Debate**Marilyn Walker, Jean Fox Tree, Pranav Anand, et al.*2012 · 352 citations*](https://md.research.elamur.ai/free/en/papers/walker-2012-corpus-research-deliberation-debate/)
1698. [**Bayesian Inference for PCFGs via Markov Chain Monte Carlo**Mark Johnson, Thomas Griffiths, Sharon Goldwater*2007 · 352 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2007-bayesian-inference-pcfgs-markov-chain/)
1699. [**Reranking and Self-Training for Parser Adaptation**David McClosky, Eugene Charniak, Mark Johnson*2006 · 352 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-reranking-self-training-parser-adaptation/)
1700. [**Using a Semantic Concordance for Sense Identification**George A. Miller, Martin Chodorow, Shari Landes, et al.*1994 · 352 citations*](https://md.research.elamur.ai/free/en/papers/miller-1994-semantic-concordance-sense-identification/)
1701. [**TinyLlama: An Open-Source Small Language Model**Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.*2024 · 351 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-tinyllama-open-source-small-language/)
1702. [**ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate**Chi-Min Chan, Weize Chen, Yusheng Su, et al.*2023 · 351 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)
1703. [**RARR: Researching and Revising What Language Models Say, Using Language Models**Luyu Gao, Zhuyun Dai, Panupong Pasupat, et al.*2023 · 351 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-rarr-researching-revising-what-language/)
1704. [**Internet-Augmented Dialogue Generation**Mojtaba Komeili, Kurt Shuster, Jason Weston*2022 · 351 citations*](https://md.research.elamur.ai/free/en/papers/komeili-2022-internet-augmented-dialogue-generation/)
1705. [**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/)
1706. [**Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks**Binxuan Huang, Kathleen Carley*2019 · 351 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-syntax-aware-aspect-level-sentiment/)
1707. [**Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction**Patrick Verga, Emma Strubell, Andrew McCallum*2018 · 351 citations*](https://md.research.elamur.ai/free/en/papers/verga-2018-simultaneously-self-attending-all-mentions/)
1708. [**Estimating the Sentence-Level Quality of Machine Translation Systems**Lucia Specia, Marco Turchi, Nicola Cancedda, et al.*2009 · 351 citations*](https://md.research.elamur.ai/free/en/papers/specia-2009-estimating-sentence-level-quality-machine/)
1709. [**Robust Accurate Statistical Annotation of General Text**Ted Briscoe, John Carroll*2002 · 351 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-2002-robust-accurate-statistical-annotation-general/)
1710. [**SnapKV: LLM Knows What You are Looking for Before Generation**Yuhong Li, Yingbing Huang, Bowen Yang, et al.*2024 · 350 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-snapkv-llm-knows-looking-before/)
1711. [**Improving Text-to-SQL Evaluation Methodology**Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, et al.*2018 · 350 citations*](https://md.research.elamur.ai/free/en/papers/dollak-2018-improving-text-sql-evaluation-methodology/)
1712. [**Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access**Bhuwan Dhingra, Lihong Li, Xiujun Li, et al.*2017 · 350 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2017-end-end-reinforcement-learning-dialogue/)
1713. [**Fracking Sarcasm using Neural Network**Aniruddha Ghosh, Tony Veale*2016 · 350 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/)
1714. [**Multilingual Subjectivity Analysis Using Machine Translation**Carmen Banea, Rada Mihalcea, Janyce Wiebe, et al.*2008 · 350 citations*](https://md.research.elamur.ai/free/en/papers/banea-2008-multilingual-subjectivity-analysis-machine-translation/)
1715. [**Do NLP Models Know Numbers? Probing Numeracy in Embeddings**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 349 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/)
1716. [**STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework**Mingbo Ma, Liang Huang, Hao Xiong, et al.*2019 · 349 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-stacl-simultaneous-translation-implicit-anticipation/)
1717. [**Graph-based Neural Multi-Document Summarization**Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.*2017 · 349 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/)
1718. [**Modelling Context with User Embeddings for Sarcasm Detection in Social Media**Silvio Amir, Byron C. Wallace, Hao Lyu, et al.*2016 · 349 citations*](https://md.research.elamur.ai/free/en/papers/amir-2016-modelling-context-user-embeddings-sarcasm/)
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