---
title: "Artificial Intelligence — papers, page 15 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 15 of 90 · 1326–1425, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/15/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/15/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 15

# 🤖 Artificial Intelligence

8,885 papers · page 15 of 90 · 1326–1425 · 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)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/14/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [10](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/10/) … [14](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/14/) **15** [16](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/16/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/16/)

1326. [**COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task**Ricardo Rei, José G. C. de Souza, Duarte Alves, et al.*2022 · 433 citations*](https://md.research.elamur.ai/free/en/papers/rei-2022-comet-22-unbabel-ist-2022/)
1327. [**Unsupervised Statistical Machine Translation**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2018 · 433 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2018-unsupervised-statistical-machine-translation/)
1328. [**PATTY: A Taxonomy of Relational Patterns with Semantic Types**Ndapandula Nakashole, Gerhard Weikum, Fabian Suchanek*2012 · 433 citations*](https://md.research.elamur.ai/free/en/papers/nakashole-2012-patty-taxonomy-relational-patterns-semantic/)
1329. [**Document-Level Event Argument Extraction by Conditional Generation**Sha Li, Heng Ji, Jiawei Han*2021 · 432 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/)
1330. [**Analyzing the Structure of Attention in a Transformer Language Model**Jesse Vig, Yonatan Belinkov*2019 · 432 citations*](https://md.research.elamur.ai/free/en/papers/vig-2019-analyzing-structure-attention-transformer-language/)
1331. [**Word-Based Dialog State Tracking with Recurrent Neural Networks**Matthew Henderson, Blaise Thomson, Steve Young*2014 · 432 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2014-word-based-dialog-state-tracking/)
1332. [**Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly**Nora Kassner, Hinrich Schütze*2020 · 431 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2020-negated-misprimed-probes-pretrained-language/)
1333. [**Computational Generation of Referring Expressions: A Survey**Emiel Krahmer, Kees van Deemter*2012 · 431 citations*](https://md.research.elamur.ai/free/en/papers/krahmer-2012-computational-generation-referring-expressions-survey/)
1334. [**Extended Constituent-to-Dependency Conversion for English**Richard Johansson, Pierre Nugues*2007 · 431 citations*](https://md.research.elamur.ai/free/en/papers/johansson-2007-extended-constituent-dependency-conversion-english/)
1335. [**A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005**Huihsin Tseng, Pichuan Chang, Galen Andrew, et al.*2005 · 431 citations*](https://md.research.elamur.ai/free/en/papers/tseng-2005-conditional-random-field-word-segmenter/)
1336. [**Text Chunking using Transformation-Based Learning**Lance Ramshaw, Mitch Marcus*1995 · 431 citations*](https://md.research.elamur.ai/free/en/papers/ramshaw-1995-text-chunking-transformation-based-learning/)
1337. [**Experience Grounds Language**Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.*2020 · 430 citations*](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)
1338. [**A general framework for information extraction using dynamic span graphs**Yi Luan, Dave Wadden, Luheng He, et al.*2019 · 430 citations*](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/)
1339. [**A Unigram Orientation Model for Statistical Machine Translation**Christoph Tillmann*2004 · 430 citations*](https://md.research.elamur.ai/free/en/papers/tillmann-2004-unigram-orientation-model-statistical-machine/)
1340. [**Empirical Studies on the Disambiguation of Cue Phrases**Julia Hirschberg, Diane Litman*1993 · 430 citations*](https://md.research.elamur.ai/free/en/papers/hirschberg-1993-empirical-studies-disambiguation-cue-phrases/)
1341. [**Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis**Ruifan Li, Hao Chen, Fangxiang Feng, et al.*2021 · 429 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-dual-graph-convolutional-networks-aspect/)
1342. [**Ethical and social risks of harm from Language Models**Laura Weidinger, John Mellor, Maribeth Rauh, et al.*2021 · 429 citations*](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/)
1343. [**MasakhaNER: Named Entity Recognition for African Languages**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 429 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/)
1344. [**SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours**Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al.*2017 · 429 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-semeval-2017-task-8-rumoureval/)
1345. [**How we BLESSed distributional semantic evaluation**Marco Baroni, Alessandro Lenci*2011 · 429 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2011-how-we-blessed-distributional-semantic/)
1346. [**Integrating Subject Field Codes into WordNet**Bernardo Magnini, Gabriela Cavaglià*2000 · 429 citations*](https://md.research.elamur.ai/free/en/papers/magnini-2000-integrating-subject-field-codes-into/)
1347. [**C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models**Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.*2023 · 428 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-c-eval-multi-level-multi/)
1348. [**Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 428 citations*](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/)
1349. [**The Internal State of an LLM Knows When It's Lying**Amos Azaria, Tom Mitchell*2023 · 427 citations*](https://md.research.elamur.ai/free/en/papers/azaria-2023-internal-state-llm-knows-when/)
1350. [**Controlling Linguistic Style Aspects in Neural Language Generation**Jessica Ficler, Yoav Goldberg*2017 · 427 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-controlling-linguistic-style-aspects-neural/)
1351. [**Offline bilingual word vectors, orthogonal transformations and the inverted softmax**Samuel L. Smith, David H. P. Turban, Steven Hamblin, et al.*2017 · 427 citations*](https://md.research.elamur.ai/free/en/papers/smith-2017-offline-bilingual-word-vectors-orthogonal/)
1352. [**Adversarial Training Methods for Semi-Supervised Text Classification**Takeru Miyato, Andrew M. Dai, Ian Goodfellow*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/)
1353. [**Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/)
1354. [**Natural Language Inference by Tree-Based Convolution and Heuristic Matching**Lili Mou, Rui Men, Ge Li, et al.*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/mou-2016-natural-language-inference-tree-based/)
1355. [**Learning Bilingual Lexicons from Monolingual Corpora**Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, et al.*2008 · 427 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2008-learning-bilingual-lexicons-monolingual-corpora/)
1356. [**Benchmarking Retrieval-Augmented Generation for Medicine**Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.*2024 · 426 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/)
1357. [**Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling**Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.*2021 · 426 citations*](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/)
1358. [**Low-Dimensional Hyperbolic Knowledge Graph Embeddings**Ines Chami, Adva Wolf, Da-Cheng Juan, et al.*2020 · 426 citations*](https://md.research.elamur.ai/free/en/papers/chami-2020-low-dimensional-hyperbolic-knowledge-graph/)
1359. [**Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods**Nitin Madnani, Bonnie J. Dorr*2010 · 426 citations*](https://md.research.elamur.ai/free/en/papers/madnani-2010-generating-phrasal-sentential-paraphrases-survey/)
1360. [**WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia**Holger Schwenk, Vishrav Chaudhary, Shuo Sun, et al.*2019 · 425 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-wikimatrix-mining-135m-parallel-sentences/)
1361. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*2017 · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
1362. [**Using the Web to Obtain Frequencies for Unseen Bigrams**Frank Keller, Mirella Lapata*2003 · 425 citations*](https://md.research.elamur.ai/free/en/papers/keller-2003-web-obtain-frequencies-unseen-bigrams/)
1363. [**AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 424 citations*](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/)
1364. [**Pay Less Attention with Lightweight and Dynamic Convolutions**Felix Wu, Angela Fan, Alexei Baevski, et al.*2019 · 424 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-pay-less-attention-lightweight-dynamic/)
1365. [**Controllable Abstractive Summarization**Angela Fan, David Grangier, Michael Auli*2018 · 424 citations*](https://md.research.elamur.ai/free/en/papers/fan-2018-controllable-abstractive-summarization/)
1366. [**Empower Sequence Labeling with Task-Aware Neural Language Model**Liyuan Liu, Jingbo Shang, Frank F. Xu, et al.*2017 · 424 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/)
1367. [**Probabilistic Top-Down Parsing and Language Modeling**Brian Roark*2001 · 424 citations*](https://md.research.elamur.ai/free/en/papers/roark-2001-probabilistic-top-down-parsing-language/)
1368. [**Automatic Detection of Text Genre**Brett Kessler, Geoffrey Nunberg, Hinrich Schutze*1997 · 424 citations*](https://md.research.elamur.ai/free/en/papers/kessler-1997-automatic-detection-text-genre/)
1369. [**Diffusion-LM Improves Controllable Text Generation**Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.*2022 · 423 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-diffusion-lm-improves-controllable-text/)
1370. [**Data Augmentation for Low-Resource Neural Machine Translation**Marzieh Fadaee, Arianna Bisazza, Christof Monz*2017 · 423 citations*](https://md.research.elamur.ai/free/en/papers/fadaee-2017-data-augmentation-low-resource-neural/)
1371. [**Phrase Dependency Parsing for Opinion Mining**Yuanbin Wu, Qi Zhang, Xuanjing Huang, et al.*2009 · 423 citations*](https://md.research.elamur.ai/free/en/papers/wu-2009-phrase-dependency-parsing-opinion-mining/)
1372. [**Text-Translation Alignment**Martin Kay, Martin Roscheisen*1993 · 423 citations*](https://md.research.elamur.ai/free/en/papers/kay-1993-text-translation-alignment/)
1373. [**Security and Privacy Challenges of Large Language Models: A Survey**Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu*2024 · 422 citations*](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/)
1374. [**Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents**Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.*2022 · 422 citations*](https://md.research.elamur.ai/free/en/papers/huang-2022-language-models-zero-shot-planners/)
1375. [**The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation**Jan-Christoph Klie, Michael Bugert, Beto Boullosa, et al.*2018 · 422 citations*](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/)
1376. [**Improving Coreference Resolution by Learning Entity-Level Distributed Representations**Kevin Clark, Christopher D. Manning*2016 · 422 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-improving-coreference-resolution-learning-entity/)
1377. [**Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs**Jinyang Li, Binyuan Hui, Ge Qu, et al.*2023 · 421 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-llm-already-serve-database-interface/)
1378. [**ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning**Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.*2023 · 421 citations*](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/)
1379. [**Are Sixteen Heads Really Better than One?**Paul Michel, Omer Levy, Graham Neubig*2019 · 421 citations*](https://md.research.elamur.ai/free/en/papers/michel-2019-sixteen-heads-really-better-than/)
1380. [**Iterative Back-Translation for Neural Machine Translation**Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari, et al.*2018 · 421 citations*](https://md.research.elamur.ai/free/en/papers/hoang-2018-iterative-back-translation-neural-machine/)
1381. [**Deal or No Deal? End-to-End Learning of Negotiation Dialogues**Mike Lewis, Denis Yarats, Yann Dauphin, et al.*2017 · 421 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2017-deal-or-no-deal-end/)
1382. [**Multi-Document Summarization By Sentence Extraction**Jade Goldstein, Vibhu Mittal, Jaime Carbonell, et al.*2000 · 421 citations*](https://md.research.elamur.ai/free/en/papers/goldstein-2000-multi-document-summarization-sentence-extraction/)
1383. [**Template-Based Named Entity Recognition Using BART**Leyang Cui, Yu Wu, Jian Liu, et al.*2021 · 420 citations*](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/)
1384. [**Event Extraction as Machine Reading Comprehension**Jian Liu, Yubo Chen, Kang Liu, et al.*2020 · 420 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-event-extraction-as-machine-reading/)
1385. [**Optimizing Chinese Word Segmentation for Machine Translation Performance**Pi-Chuan Chang, Michel Galley, Christopher D. Manning*2008 · 420 citations*](https://md.research.elamur.ai/free/en/papers/chang-2008-optimizing-chinese-word-segmentation-machine/)
1386. [**Tailoring Continuous Word Representations for Dependency Parsing**Mohit Bansal, Kevin Gimpel, Karen Livescu*2014 · 419 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/)
1387. [**Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*2021 · 418 citations*](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)
1388. [**Automatic sense prediction for implicit discourse relations in text**Emily Pitler, Annie Louis, Ani Nenkova*2009 · 418 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2009-automatic-sense-prediction-implicit-discourse/)
1389. [**Motivations and Methods for Text Simplification**R. Chandrasekar, Christine Doran, B. Srinivas*1996 · 418 citations*](https://md.research.elamur.ai/free/en/papers/chandrasekar-1996-motivations-methods-text-simplification/)
1390. [**Harnessing Context Incongruity for Sarcasm Detection**Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya*2015 · 417 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/)
1391. [**Measuring the Semantic Similarity of Texts**Courtney Corley, Rada Mihalcea*2005 · 417 citations*](https://md.research.elamur.ai/free/en/papers/corley-2005-measuring-semantic-similarity-texts/)
1392. [**Incrementality in Deterministic Dependency Parsing**Joakim Nivre*2004 · 417 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2004-incrementality-deterministic-dependency-parsing/)
1393. [**Exploiting BERT for End-to-End Aspect-based Sentiment Analysis**Xin Li, Lidong Bing, Wenxuan Zhang, et al.*2019 · 416 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-exploiting-bert-end-end-aspect/)
1394. [**Recognizing Stances in Ideological On-Line Debates**Swapna Somasundaran, Janyce Wiebe*2010 · 416 citations*](https://md.research.elamur.ai/free/en/papers/somasundaran-2010-recognizing-stances-ideological-line-debates/)
1395. [**Word Sense Disambiguation Improves Statistical Machine Translation**Yee Seng Chan, Hwee Tou Ng, David Chiang*2007 · 416 citations*](https://md.research.elamur.ai/free/en/papers/chan-2007-word-sense-disambiguation-improves-statistical/)
1396. [**The Penn Discourse Treebank**Eleni Miltsakaki, Rashmi Prasad, Aravind Joshi, et al.*2004 · 416 citations*](https://md.research.elamur.ai/free/en/papers/miltsakaki-2004-penn-discourse-treebank/)
1397. [**Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations**Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran*2022 · 415 citations*](https://md.research.elamur.ai/free/en/papers/davani-2022-dealing-disagreements-looking-beyond-majority/)
1398. [**Weight Poisoning Attacks on Pretrained Models**Keita Kurita, Paul Michel, Graham Neubig*2020 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kurita-2020-weight-poisoning-attacks-pretrained-models/)
1399. [**CLPsych 2015 Shared Task: Depression and PTSD on Twitter**Glen Coppersmith, Mark Dredze, Craig Harman, et al.*2015 · 415 citations*](https://md.research.elamur.ai/free/en/papers/coppersmith-2015-clpsych-2015-shared-task-depression/)
1400. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 414 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
1401. [**Document-Level Neural Machine Translation with Hierarchical Attention Networks**Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.*2018 · 414 citations*](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/)
1402. [**Abusive Language Detection on Arabic Social Media**Hamdy Mubarak, Kareem Darwish, Walid Magdy*2017 · 414 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2017-abusive-language-detection-arabic-social/)
1403. [**Gender and Dialect Bias in YouTube's Automatic Captions**Rachael Tatman*2017 · 414 citations*](https://md.research.elamur.ai/free/en/papers/tatman-2017-gender-dialect-bias-youtube-s/)
1404. [**Unsupervised Neural Machine Translation**Mikel Artetxe, Gorka Labaka, Eneko Agirre, et al.*2017 · 414 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2017-unsupervised-neural-machine-translation/)
1405. [**PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification**Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, et al.*2015 · 414 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/)
1406. [**Kimi k1.5: Scaling Reinforcement Learning with LLMs**Kimi Team, Angang Du, Bofei Gao, et al.*2025 · 413 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k1-5-scaling-reinforcement/)
1407. [**MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification**Jiaao Chen, Zichao Yang, Diyi Yang*2020 · 413 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-mixtext-linguistically-informed-interpolation-hidden/)
1408. [**Commonsense Knowledge Mining from Pretrained Models**Joe Davison, Joshua Feldman, Alexander Rush*2019 · 413 citations*](https://md.research.elamur.ai/free/en/papers/davison-2019-commonsense-knowledge-mining-pretrained-models/)
1409. [**Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them**Hila Gonen, Yoav Goldberg*2019 · 413 citations*](https://md.research.elamur.ai/free/en/papers/gonen-2019-lipstick-pig-debiasing-methods-cover/)
1410. [**Recognizing Implicit Discourse Relations in the Penn Discourse Treebank**Ziheng Lin, Min-Yen Kan, Hwee Tou Ng*2009 · 413 citations*](https://md.research.elamur.ai/free/en/papers/lin-2009-recognizing-implicit-discourse-relations-penn/)
1411. [**Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization**Regina Barzilay, Lillian Lee*2004 · 413 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2004-catching-drift-probabilistic-content-models/)
1412. [**A Stochastic Finite-State Word-Segmentation Algorithm for Chinese**Richard W. Sproat, Chilin Shih, William Gale, et al.*1996 · 413 citations*](https://md.research.elamur.ai/free/en/papers/sproat-1996-stochastic-finite-state-word-segmentation/)
1413. [**An Estimate of an Upper Bound for the Entropy of English**Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, et al.*1992 · 413 citations*](https://md.research.elamur.ai/free/en/papers/brown-1992-estimate-upper-bound-entropy-english/)
1414. [**Training data-efficient image transformers & distillation through attention**Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.*2020 · 412 citations*](https://md.research.elamur.ai/free/en/papers/touvron-2020-training-data-efficient-image-transformers/)
1415. [**Factual Probing Is MASK: Learning vs. Learning to Recall**Zexuan Zhong, Dan Friedman, Danqi Chen*2021 · 411 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/)
1416. [**SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text**Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, et al.*2019 · 411 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-semeval-2019-task-3-emocontext/)
1417. [**The CommitmentBank: Investigating projection in naturally occurring discourse**Marie-Catherine de Marneffe, Mandy Simons, Judith Tonhauser*2019 · 411 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2019-commitmentbank-investigating-projection-naturally/)
1418. [**A Character-level Decoder without Explicit Segmentation for Neural Machine Translation**Junyoung Chung, Kyunghyun Cho, Yoshua Bengio*2016 · 411 citations*](https://md.research.elamur.ai/free/en/papers/chung-2016-character-level-decoder-without-explicit/)
1419. [**Frame-Semantic Parsing**Dipanjan Das, Desai Chen, André F. T. Martins, et al.*2014 · 411 citations*](https://md.research.elamur.ai/free/en/papers/das-2014-frame-semantic-parsing/)
1420. [**Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement**An Yang, Beichen Zhang, Binyuan Hui, et al.*2024 · 410 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-qwen2-5-math-technical-report/)
1421. [**mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality**Qinghao Ye, Haiyang Xu, Guohai Xu, et al.*2023 · 410 citations*](https://md.research.elamur.ai/free/en/papers/ye-2023-mplug-owl-modularization-empowers-large/)
1422. [**KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media**Ali Safaya, Moutasem Abdullatif, Deniz Yuret*2020 · 410 citations*](https://md.research.elamur.ai/free/en/papers/safaya-2020-kuisail-semeval-2020-task-12/)
1423. [**Multilingual and Multi-Aspect Hate Speech Analysis**Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, et al.*2019 · 410 citations*](https://md.research.elamur.ai/free/en/papers/ousidhoum-2019-multilingual-multi-aspect-hate-speech/)
1424. [**Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network**Xiangyang Zhou, Lu Li, Daxiang Dong, et al.*2018 · 410 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/)
1425. [**Lattice-based Minimum Error Rate Training for Statistical Machine Translation**Wolfgang Macherey, Franz Och, Ignacio Thayer, et al.*2008 · 410 citations*](https://md.research.elamur.ai/free/en/papers/macherey-2008-lattice-based-minimum-error-rate/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/14/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [10](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/10/) … [14](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/14/) **15** [16](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/16/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/20/) … [90](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/90/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/16/)