---
title: "Computer Science — papers, page 28 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 28 of 92 · 2626–2725, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/28/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/28/)

[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/) / page 28

# 🖥️ Computer Science

9,085 papers · page 28 of 92 · 2626–2725 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/27/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/page/20/) … [27](https://md.research.elamur.ai/free/en/shelves/computer-science/page/27/) **28** [29](https://md.research.elamur.ai/free/en/shelves/computer-science/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/29/)

2626. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
2627. [**Generative Language Modeling for Automated Theorem Proving**Stanislas Polu, Ilya Sutskever*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/polu-2020-generative-language-modeling-automated-theorem/)
2628. [**Document Context Neural Machine Translation with Memory Networks**Sameen Maruf, Gholamreza Haffari*2018 · 236 citations*](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/)
2629. [**Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints**Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.*2017 · 236 citations*](https://md.research.elamur.ai/free/en/papers/mrksic-2017-semantic-specialization-distributional-word-vector/)
2630. [**Cats Rule and Dogs Drool!: Classifying Stance in Online Debate**Pranav Anand, Marilyn Walker, Rob Abbott, et al.*2011 · 236 citations*](https://md.research.elamur.ai/free/en/papers/anand-2011-cats-rule-dogs-drool-classifying/)
2631. [**Event Extraction as Dependency Parsing**David McClosky, Mihai Surdeanu, Christopher Manning*2011 · 236 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2011-event-extraction-as-dependency-parsing/)
2632. [**Prepositional Phrase Attachment through a Backed-off Model**Michael Collins, James Brooks*1995 · 236 citations*](https://md.research.elamur.ai/free/en/papers/collins-1995-prepositional-phrase-attachment-through-backed/)
2633. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
2634. [**FUDGE: Controlled Text Generation With Future Discriminators**Kevin Yang, Dan Klein*2021 · 235 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/)
2635. [**BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization**Eva Sharma, Chen Li, Lu Wang*2019 · 235 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2019-bigpatent-large-scale-dataset-abstractive/)
2636. [**Classical Structured Prediction Losses for Sequence to Sequence Learning**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 235 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/)
2637. [**OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora**Pierre Lison, Jörg Tiedemann, Milen Kouylekov*2018 · 235 citations*](https://md.research.elamur.ai/free/en/papers/lison-2018-opensubtitles2018-statistical-rescoring-sentence-alignments/)
2638. [**Attention-based Multimodal Neural Machine Translation**Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al.*2016 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2016-attention-based-multimodal-neural-machine/)
2639. [**Better Document-level Sentiment Analysis from RST Discourse Parsing**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/)
2640. [**YAGO3: A Knowledge Base from Multilingual Wikipedias**Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/)
2641. [**SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge**Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.*2013 · 235 citations*](https://md.research.elamur.ai/free/en/papers/dzikovska-2013-semeval-2013-task-7-joint/)
2642. [**Structured Perceptron with Inexact Search**Liang Huang, Suphan Fayong, Yang Guo*2012 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-structured-perceptron-inexact-search/)
2643. [**Entropy Rate Constancy in Text**Dmitriy Genzel, Eugene Charniak*2002 · 235 citations*](https://md.research.elamur.ai/free/en/papers/genzel-2002-entropy-rate-constancy-text/)
2644. [**G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)
2645. [**FeTaQA: Free-form Table Question Answering**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/)
2646. [**SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification**Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/)
2647. [**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/)
2648. [**The Importance of Modeling Social Factors of Language: Theory and Practice**Dirk Hovy, Diyi Yang*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/)
2649. [**Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/)
2650. [**Politeness Transfer: A Tag and Generate Approach**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/)
2651. [**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/)
2652. [**A Study of Reinforcement Learning for Neural Machine Translation**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations*](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/)
2653. [**Learning to Understand Phrases by Embedding the Dictionary**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/)
2654. [**Translationese and Its Dialects**Moshe Koppel, Noam Ordan*2011 · 234 citations*](https://md.research.elamur.ai/free/en/papers/koppel-2011-translationese-its-dialects/)
2655. [**Bayesian Word Sense Induction**Samuel Brody, Mirella Lapata*2009 · 234 citations*](https://md.research.elamur.ai/free/en/papers/brody-2009-bayesian-word-sense-induction/)
2656. [**Simplifying Text for Language-Impaired Readers**John Carroll, Guido Minnen, Darren Pearce, et al.*1999 · 234 citations*](https://md.research.elamur.ai/free/en/papers/carroll-1999-simplifying-text-language-impaired-readers/)
2657. [**Evaluating Open-Domain Question Answering in the Era of Large Language Models**Ehsan Kamalloo, Nouha Dziri, Charles Clarke, et al.*2023 · 233 citations*](https://md.research.elamur.ai/free/en/papers/kamalloo-2023-evaluating-open-domain-question-answering/)
2658. [**CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning**Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.*2022 · 233 citations*](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/)
2659. [**Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification**Timo Schick, Helmut Schmid, Hinrich Schütze*2020 · 233 citations*](https://md.research.elamur.ai/free/en/papers/schick-2020-automatically-identifying-words-that-can/)
2660. [**A Discrete Hard EM Approach for Weakly Supervised Question Answering**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/)
2661. [**Dialog State Tracking: A Neural Reading Comprehension Approach**Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-dialog-state-tracking-neural-reading/)
2662. [**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/)
2663. [**Towards Robust and Privacy-preserving Text Representations**Yitong Li, Timothy Baldwin, Trevor Cohn*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-robust-privacy-preserving-text-representations/)
2664. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 233 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/)
2665. [**Membership Inference Attacks against Machine Learning Models**Reza Shokri, Marco Stronati, Congzheng Song, et al.*2016 · 233 citations*](https://md.research.elamur.ai/free/en/papers/shokri-2016-membership-inference-attacks-against-machine/)
2666. [**Stance Classification of Ideological Debates: Data, Models, Features, and Constraints**Kazi Saidul Hasan, Vincent Ng*2013 · 233 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2013-stance-classification-ideological-debates-data/)
2667. [**An Empirical Study on Compositionality in Compound Nouns**Siva Reddy, Diana McCarthy, Suresh Manandhar*2011 · 233 citations*](https://md.research.elamur.ai/free/en/papers/reddy-2011-empirical-study-compositionality-compound-nouns/)
2668. [**Unsupervised Event Coreference Resolution with Rich Linguistic Features**Cosmin Bejan, Sanda Harabagiu*2010 · 233 citations*](https://md.research.elamur.ai/free/en/papers/bejan-2010-unsupervised-event-coreference-resolution-rich/)
2669. [**Improving Statistical MT through Morphological Analysis**Sharon Goldwater, David McClosky*2005 · 233 citations*](https://md.research.elamur.ai/free/en/papers/goldwater-2005-improving-statistical-mt-through-morphological/)
2670. [**Evaluating Automated and Manual Acquisition of Anaphora Resolution Strategies**Chinatsu Aone, Scott William Bennett*1995 · 233 citations*](https://md.research.elamur.ai/free/en/papers/aone-1995-evaluating-automated-manual-acquisition-anaphora/)
2671. [**Qwen2-Audio Technical Report**Yunfei Chu, Jin Xu, Qian Yang, et al.*2024 · 232 citations*](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/)
2672. [**Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision**Zhiqing Sun, Yikang Shen, Qinhong Zhou, et al.*2023 · 232 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-principle-driven-self-alignment-language/)
2673. [**Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information**Michele Bevilacqua, Roberto Navigli*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-breaking-through-80-glass-ceiling/)
2674. [**Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/)
2675. [**AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets**Marco Polignano, Pierpaolo Basile, Marco de Gemmis, et al.*2019 · 232 citations*](https://md.research.elamur.ai/free/en/papers/polignano-2019-alberto-italian-bert-language-understanding/)
2676. [**Harvesting Paragraph-level Question-Answer Pairs from Wikipedia**Xinya Du, Claire Cardie*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/du-2018-harvesting-paragraph-level-question-answer/)
2677. [**A Deep Generative Framework for Paraphrase Generation**Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.*2017 · 232 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2017-deep-generative-framework-paraphrase-generation/)
2678. [**Better Arabic Parsing: Baselines, Evaluations, and Analysis**Spence Green, Christopher D. Manning*2010 · 232 citations*](https://md.research.elamur.ai/free/en/papers/green-2010-better-arabic-parsing-baselines-evaluations/)
2679. [**Transliteration of Proper Names in Cross-Lingual Information Retrieval**Paola Virga, Sanjeev Khudanpur*2003 · 232 citations*](https://md.research.elamur.ai/free/en/papers/virga-2003-transliteration-proper-names-cross-lingual/)
2680. [**MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?**Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.*2024 · 231 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mathverse-multi-modal-llm-truly/)
2681. [**ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning**Petter Tornberg*2023 · 231 citations*](https://md.research.elamur.ai/free/en/papers/tornberg-2023-chatgpt-4-outperforms-experts-crowd/)
2682. [**Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition**Yongliang Shen, Xinyin Ma, Zeqi Tan, et al.*2021 · 231 citations*](https://md.research.elamur.ai/free/en/papers/shen-2021-locate-label-two-stage-identifier/)
2683. [**How Context Affects Language Models' Factual Predictions**Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.*2020 · 231 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-context-affects-language-models-factual/)
2684. [**Compositional Questions Do Not Necessitate Multi-hop Reasoning**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 231 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/)
2685. [**Linguistic Input Features Improve Neural Machine Translation**Rico Sennrich, Barry Haddow*2016 · 231 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-linguistic-input-features-improve-neural/)
2686. [**Overview for the Second Shared Task on Language Identification in Code-Switched Data**Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim, et al.*2016 · 231 citations*](https://md.research.elamur.ai/free/en/papers/molina-2016-overview-second-shared-task-language/)
2687. [**FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance**Lingjiao Chen, Matei Zaharia, James Zou*2023 · 230 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-frugalgpt-use-large-language-models/)
2688. [**Towards Conversational Recommendation over Multi-Type Dialogs**Zeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.*2020 · 230 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-conversational-recommendation-over-multi-type/)
2689. [**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/)
2690. [**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/)
2691. [**SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 230 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/)
2692. [**Sarcasm Detection on Czech and English Twitter**Tomáš Ptáček, Ivan Habernal, Jun Hong*2014 · 230 citations*](https://md.research.elamur.ai/free/en/papers/ptacek-2014-sarcasm-detection-czech-english-twitter/)
2693. [**Adaptation of the translation model for statistical machine translation based on information retrieval**Almut Silja Hildebrand, Matthias Eck, Stephan Vogel, et al.*2005 · 230 citations*](https://md.research.elamur.ai/free/en/papers/hildebrand-2005-adaptation-translation-model-statistical-machine/)
2694. [**A Corpus-Based Approach for Building Semantic Lexicons**Ellen Riloff, Jessica Shepherd*1997 · 230 citations*](https://md.research.elamur.ai/free/en/papers/riloff-1997-corpus-based-approach-building-semantic/)
2695. [**Detecting Hallucinated Content in Conditional Neural Sequence Generation**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/)
2696. [**Hurdles to Progress in Long-form Question Answering**Kalpesh Krishna, Aurko Roy, Mohit Iyyer*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/)
2697. [**CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs**Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.*2020 · 229 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2020-ccaligned-massive-collection-cross-lingual/)
2698. [**Commonsense for Generative Multi-Hop Question Answering Tasks**Lisa Bauer, Yicheng Wang, Mohit Bansal*2018 · 229 citations*](https://md.research.elamur.ai/free/en/papers/bauer-2018-commonsense-generative-multi-hop-question/)
2699. [**Cross-topic Argument Mining from Heterogeneous Sources**Christian Stab, Tristan Miller, Benjamin Schiller, et al.*2018 · 229 citations*](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/)
2700. [**Edit Detection and Parsing for Transcribed Speech**Eugene Charniak, Mark Johnson*2001 · 229 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2001-edit-detection-parsing-transcribed-speech/)
2701. [**The ARPA MT Evaluation Methodologies: Evolution, Lessons, and Future Approaches**John S. White, Theresa A. O'Connell, Francis E. O'Mara*1994 · 229 citations*](https://md.research.elamur.ai/free/en/papers/white-1994-arpa-mt-evaluation-methodologies-evolution/)
2702. [**Two Languages Are More Informative Than One**Ido Dagan, Alon Itai, Ulrike Schwall*1991 · 229 citations*](https://md.research.elamur.ai/free/en/papers/dagan-1991-two-languages-are-more-informative/)
2703. [**OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments**Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.*2024 · 228 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/)
2704. [**Open-Domain Question Answering Goes Conversational via Question Rewriting**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 228 citations*](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/)
2705. [**End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2**Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, et al.*2020 · 228 citations*](https://md.research.elamur.ai/free/en/papers/ham-2020-end-end-neural-pipeline-goal/)
2706. [**Understanding the Difficulty of Training Transformers**Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 228 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-understanding-difficulty-training-transformers/)
2707. [**Neural Machine Translation with Byte-Level Subwords**Changhan Wang, Kyunghyun Cho, Jiatao Gu*2019 · 228 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-neural-machine-translation-byte-level/)
2708. [**Towards Multimodal Sarcasm Detection (An \textitObviously Perfect Paper)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 228 citations*](https://md.research.elamur.ai/free/en/papers/castro-2019-multimodal-sarcasm-detection-textitobviously-perfect/)
2709. [**Strong Baselines for Neural Semi-Supervised Learning under Domain Shift**Sebastian Ruder, Barbara Plank*2018 · 228 citations*](https://md.research.elamur.ai/free/en/papers/ruder-2018-strong-baselines-neural-semi-supervised/)
2710. [**Text Segmentation as a Supervised Learning Task**Omri Koshorek, Adir Cohen, Noam Mor, et al.*2018 · 228 citations*](https://md.research.elamur.ai/free/en/papers/koshorek-2018-text-segmentation-as-supervised-learning/)
2711. [**Automatically Labeled Data Generation for Large Scale Event Extraction**Yubo Chen, Shulin Liu, Xiang Zhang, et al.*2017 · 228 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-automatically-labeled-data-generation-large/)
2712. [**Constraint-Based Question Answering with Knowledge Graph**Junwei Bao, Nan Duan, Zhao Yan, et al.*2016 · 228 citations*](https://md.research.elamur.ai/free/en/papers/bao-2016-constraint-based-question-answering-knowledge/)
2713. [**Broad-coverage CCG Semantic Parsing with AMR**Yoav Artzi, Kenton Lee, Luke Zettlemoyer*2015 · 228 citations*](https://md.research.elamur.ai/free/en/papers/artzi-2015-broad-coverage-ccg-semantic-parsing/)
2714. [**Automatic Domain Adaptation for Parsing**David McClosky, Eugene Charniak, Mark Johnson*2010 · 228 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2010-automatic-domain-adaptation-parsing/)
2715. [**Statistical Parsing with an Automatically-Extracted Tree Adjoining Grammar**David Chiang*2000 · 228 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2000-statistical-parsing-automatically-extracted-tree/)
2716. [**XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models**Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.*2023 · 227 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/)
2717. [**DEGREE: A Data-Efficient Generation-Based Event Extraction Model**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al.*2022 · 227 citations*](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/)
2718. [**Learning to Deceive with Attention-Based Explanations**Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, et al.*2020 · 227 citations*](https://md.research.elamur.ai/free/en/papers/pruthi-2020-learning-deceive-attention-based-explanations/)
2719. [**Neural CRF Model for Sentence Alignment in Text Simplification**Chao Jiang, Mounica Maddela, Wuwei Lan, et al.*2020 · 227 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/)
2720. [**SParC: Cross-Domain Semantic Parsing in Context**Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.*2019 · 227 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-sparc-cross-domain-semantic-parsing/)
2721. [**Findings of the Third Shared Task on Multimodal Machine Translation**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/)
2722. [**Interpretation of Natural Language Rules in Conversational Machine Reading**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/)
2723. [**The University of Edinburgh's Neural MT Systems for WMT17**Rico Sennrich, Alexandra Birch, Anna Currey, et al.*2017 · 227 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/)
2724. [**Sparse Overcomplete Word Vector Representations**Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.*2015 · 227 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2015-sparse-overcomplete-word-vector-representations/)
2725. [**SemEval-2007 Task 07: Coarse-Grained English All-Words Task**Roberto Navigli, Kenneth C. Litkowski, Orin Hargraves*2007 · 227 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-semeval-2007-task-07-coarse/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/27/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/page/20/) … [27](https://md.research.elamur.ai/free/en/shelves/computer-science/page/27/) **28** [29](https://md.research.elamur.ai/free/en/shelves/computer-science/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/29/)