---
title: "Artificial Intelligence — papers, page 8"
description: "Artificial Intelligence: 8,886 papers of the Elamur Research library · page 8 of 90 · 626–725, the most cited first — our summary of each, its ideas…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/8/"
---
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# 🤖 Artificial Intelligence

8,886 papers · page 8 of 90 · 626–725 · 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

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626. [**Kernel Methods for Relation Extraction**Dmitry Zelenko, Chinatsu Aone, Anthony Richardella*2002 · 831 citations*](https://md.research.elamur.ai/free/en/papers/zelenko-2002-kernel-methods-relation-extraction/)
627. [**MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance**Wei Zhao, Maxime Peyrard, Fei Liu, et al.*2019 · 829 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-moverscore-text-generation-evaluating-contextualized/)
628. [**Gated Self-Matching Networks for Reading Comprehension and Question Answering**Wenhui Wang, Nan Yang, Furu Wei, et al.*2017 · 827 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/)
629. [**ImageNet Large Scale Visual Recognition Challenge**Olga Russakovsky, Jia Deng, Hao Su, et al.*2014 · 826 citations*](https://md.research.elamur.ai/free/en/papers/russakovsky-2014-imagenet-large-scale-visual-recognition/)
630. [**Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism**Orhan Firat, Kyunghyun Cho, Yoshua Bengio*2016 · 825 citations*](https://md.research.elamur.ai/free/en/papers/firat-2016-multi-way-multilingual-neural-machine/)
631. [**Automatic Evaluation of Topic Coherence**David Newman, Jey Han Lau, Karl Grieser, et al.*2010 · 825 citations*](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/)
632. [**Extended Gloss Overlaps as a Measure of Semantic Relatedness**Satanjeev Banerjee, Ted Pedersen*2003 · 825 citations*](https://md.research.elamur.ai/free/en/papers/banerjee-2003-extended-gloss-overlaps-as-measure/)
633. [**Unsupervised Dense Information Retrieval with Contrastive Learning**Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.*2021 · 824 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2021-unsupervised-dense-information-retrieval-contrastive/)
634. [**SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation**Eneko Agirre, Carmen Banea, Daniel Cer, et al.*2016 · 824 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)
635. [**Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis**Theresa Wilson, Janyce Wiebe, Paul Hoffmann*2009 · 824 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2009-recognizing-contextual-polarity-exploration-features/)
636. [**Is ChatGPT a General-Purpose Natural Language Processing Task Solver?**Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.*2023 · 823 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-chatgpt-general-purpose-natural-language/)
637. [**Addressing the Rare Word Problem in Neural Machine Translation**Thang Luong, Ilya Sutskever, Quoc Le, et al.*2015 · 823 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/)
638. [**Quantifying Mental Health Signals in Twitter**Glen Coppersmith, Mark Dredze, Craig Harman*2014 · 823 citations*](https://md.research.elamur.ai/free/en/papers/coppersmith-2014-quantifying-mental-health-signals-twitter/)
639. [**Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting**Yen-Chun Chen, Mohit Bansal*2018 · 822 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/)
640. [**Improving Vector Space Word Representations Using Multilingual Correlation**Manaal Faruqui, Chris Dyer*2014 · 822 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2014-improving-vector-space-word-representations/)
641. [**Paraphrasing with Bilingual Parallel Corpora**Colin Bannard, Chris Callison-Burch*2005 · 822 citations*](https://md.research.elamur.ai/free/en/papers/bannard-2005-paraphrasing-bilingual-parallel-corpora/)
642. [**GPT-NeoX-20B: An Open-Source Autoregressive Language Model**Sidney Black, Stella Biderman, Eric Hallahan, et al.*2022 · 821 citations*](https://md.research.elamur.ai/free/en/papers/black-2022-gpt-neox-20b-open-source/)
643. [**ERASER: A Benchmark to Evaluate Rationalized NLP Models**Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.*2020 · 821 citations*](https://md.research.elamur.ai/free/en/papers/deyoung-2020-eraser-benchmark-evaluate-rationalized-nlp/)
644. [**Entity, Relation, and Event Extraction with Contextualized Span Representations**David Wadden, Ulme Wennberg, Yi Luan, et al.*2019 · 821 citations*](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/)
645. [**DocVQA: A Dataset for VQA on Document Images**Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar*2020 · 820 citations*](https://md.research.elamur.ai/free/en/papers/mathew-2020-docvqa-dataset-vqa-document-images/)
646. [**Scaling Neural Machine Translation**Myle Ott, Sergey Edunov, David Grangier, et al.*2018 · 819 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-scaling-neural-machine-translation/)
647. [**A New Dataset and Method for Automatically Grading ESOL Texts**Helen Yannakoudakis, Ted Briscoe, Ben Medlock*2011 · 815 citations*](https://md.research.elamur.ai/free/en/papers/yannakoudakis-2011-new-dataset-method-automatically-grading/)
648. [**The Web as a Knowledge-Base for Answering Complex Questions**Alon Talmor, Jonathan Berant*2018 · 814 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2018-web-as-knowledge-base-answering/)
649. [**Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond**Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.*2023 · 811 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/)
650. [**Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe**Milan Straka, Jana Straková*2017 · 811 citations*](https://md.research.elamur.ai/free/en/papers/straka-2017-tokenizing-pos-tagging-lemmatizing-parsing/)
651. [**A Stylometric Inquiry into Hyperpartisan and Fake News**Martin Potthast, Johannes Kiesel, Kevin Reinartz, et al.*2018 · 810 citations*](https://md.research.elamur.ai/free/en/papers/potthast-2018-stylometric-inquiry-into-hyperpartisan-fake/)
652. [**Finding Deceptive Opinion Spam by Any Stretch of the Imagination**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 810 citations*](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/)
653. [**Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks**Chen Zhang, Qiuchi Li, Dawei Song*2019 · 808 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-aspect-based-sentiment-classification-aspect/)
654. [**BARTScore: Evaluating Generated Text as Text Generation**Weizhe Yuan, Graham Neubig, Pengfei Liu*2021 · 807 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2021-bartscore-evaluating-generated-text-text/)
655. [**Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations**Sosuke Kobayashi*2018 · 807 citations*](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/)
656. [**Learning Deep Transformer Models for Machine Translation**Qiang Wang, Bei Li, Tong Xiao, et al.*2019 · 802 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-learning-deep-transformer-models-machine/)
657. [**XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale**Arun Babu, Changhan Wang, Andros Tjandra, et al.*2021 · 801 citations*](https://md.research.elamur.ai/free/en/papers/babu-2021-xls-r-self-supervised-cross/)
658. [**Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words**Saif Mohammad*2018 · 800 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-obtaining-reliable-human-ratings-valence/)
659. [**ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission**Kexin Huang, Jaan Altosaar, Rajesh Ranganath*2019 · 798 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-clinicalbert-modeling-clinical-notes-predicting/)
660. [**Achieving Human Parity on Automatic Chinese to English News Translation**Hany Hassan, Anthony Aue, Chang Chen, et al.*2018 · 797 citations*](https://md.research.elamur.ai/free/en/papers/hassan-2018-achieving-human-parity-automatic-chinese/)
661. [**Linguistic Regularities in Sparse and Explicit Word Representations**Omer Levy, Yoav Goldberg*2014 · 796 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/)
662. [**Named Entity Recognition using an HMM-based Chunk Tagger**GuoDong Zhou, Jian Su*2002 · 796 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2002-named-entity-recognition-hmm-based/)
663. [**Calibrate Before Use: Improving Few-Shot Performance of Language Models**Tony Z. Zhao, Eric Wallace, Shi Feng, et al.*2021 · 794 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2021-calibrate-before-use-improving-few/)
664. [**TuckER: Tensor Factorization for Knowledge Graph Completion**Ivana Balažević, Carl Allen, Timothy M. Hospedales*2019 · 794 citations*](https://md.research.elamur.ai/free/en/papers/balazevic-2019-tucker-tensor-factorization-knowledge-graph/)
665. [**Multi-Task Learning for Multiple Language Translation**Daxiang Dong, Hua Wu, Wei He, et al.*2015 · 794 citations*](https://md.research.elamur.ai/free/en/papers/dong-2015-multi-task-learning-multiple-language/)
666. [**Reasoning about Entailment with Neural Attention**Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.*2015 · 791 citations*](https://md.research.elamur.ai/free/en/papers/rocktaschel-2015-reasoning-about-entailment-neural-attention/)
667. [**Semi-supervised sequence tagging with bidirectional language models**Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al.*2017 · 790 citations*](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/)
668. [**Reformer: The Efficient Transformer**Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya*2020 · 789 citations*](https://md.research.elamur.ai/free/en/papers/kitaev-2020-reformer-efficient-transformer/)
669. [**Revisiting Pre-Trained Models for Chinese Natural Language Processing**Yiming Cui, Wanxiang Che, Ting Liu, et al.*2020 · 789 citations*](https://md.research.elamur.ai/free/en/papers/cui-2020-revisiting-pre-trained-models-chinese/)
670. [**NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews**Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.*2014 · 789 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2014-nrc-canada-2014-detecting-aspects/)
671. [**SemEval-2014 Task 10: Multilingual Semantic Textual Similarity**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2014 · 789 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-semeval-2014-task-10-multilingual/)
672. [**Ask Me Anything: Dynamic Memory Networks for Natural Language Processing**Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al.*2015 · 787 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2015-ask-me-anything-dynamic-memory/)
673. [**From TreeBank to PropBank**Paul Kingsbury, Martha Palmer*2002 · 787 citations*](https://md.research.elamur.ai/free/en/papers/kingsbury-2002-treebank-propbank/)
674. [**Scaling to Very Very Large Corpora for Natural Language Disambiguation**Michele Banko, Eric Brill*2001 · 786 citations*](https://md.research.elamur.ai/free/en/papers/banko-2001-scaling-very-very-large-corpora/)
675. [**Explainability for Large Language Models: A Survey**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)
676. [**Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 785 citations*](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/)
677. [**Supervised Learning of Universal Sentence Representations from Natural Language Inference Data**Alexis Conneau, Douwe Kiela, Holger Schwenk, et al.*2017 · 784 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/)
678. [**Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora**David Yarowsky*1992 · 783 citations*](https://md.research.elamur.ai/free/en/papers/yarowsky-1992-word-sense-disambiguation-statistical-models/)
679. [**GLM-130B: An Open Bilingual Pre-trained Model**Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.*2022 · 779 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-glm-130b-open-bilingual-pre/)
680. [**Enhanced Sentiment Learning Using Twitter Hashtags and Smileys**Dmitry Davidov, Oren Tsur, Ari Rappoport*2010 · 779 citations*](https://md.research.elamur.ai/free/en/papers/davidov-2010-enhanced-sentiment-learning-twitter-hashtags/)
681. [**Towards Reasoning in Large Language Models: A Survey**Jie Huang, Kevin Chen-Chuan Chang*2023 · 778 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-reasoning-large-language-models-survey/)
682. [**Can Large Language Models Transform Computational Social Science?**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 777 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/)
683. [**Relational Graph Attention Network for Aspect-based Sentiment Analysis**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 776 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/)
684. [**Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status**Simone Teufel, Marc Moens*2002 · 776 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/)
685. [**LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking**Yupan Huang, Tengchao Lv, Lei Cui, et al.*2022 · 774 citations*](https://md.research.elamur.ai/free/en/papers/huang-2022-layoutlmv3-pre-training-document-ai/)
686. [**A Syntactic Neural Model for General-Purpose Code Generation**Pengcheng Yin, Graham Neubig*2017 · 774 citations*](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/)
687. [**Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths**Yan Xu, Lili Mou, Ge Li, et al.*2015 · 774 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/)
688. [**Domain Adaptation via Pseudo In-Domain Data Selection**Amittai Axelrod, Xiaodong He, Jianfeng Gao*2011 · 774 citations*](https://md.research.elamur.ai/free/en/papers/axelrod-2011-domain-adaptation-pseudo-domain-data/)
689. [**Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter*2020 · 772 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2/)
690. [**Non-Autoregressive Neural Machine Translation**Jiatao Gu, James Bradbury, Caiming Xiong, et al.*2017 · 771 citations*](https://md.research.elamur.ai/free/en/papers/gu-2017-non-autoregressive-neural-machine-translation/)
691. [**Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments**Kevin Gimpel, Nathan Schneider, Brendan O'Connor, et al.*2011 · 769 citations*](https://md.research.elamur.ai/free/en/papers/gimpel-2011-part-speech-tagging-twitter-annotation/)
692. [**UniXcoder: Unified Cross-Modal Pre-training for Code Representation**Daya Guo, Shuai Lu, Nan Duan, et al.*2022 · 768 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/)
693. [**ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision**Wonjae Kim, Bokyung Son, Ildoo Kim*2021 · 768 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-vilt-vision-language-transformer-convolution/)
694. [**Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter**Zeerak Waseem*2016 · 767 citations*](https://md.research.elamur.ai/free/en/papers/waseem-2016-are-you-racist-or-am/)
695. [**SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2015 · 763 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)
696. [**Constituency Parsing with a Self-Attentive Encoder**Nikita Kitaev, Dan Klein*2018 · 762 citations*](https://md.research.elamur.ai/free/en/papers/kitaev-2018-constituency-parsing-self-attentive-encoder/)
697. [**On Measuring Social Biases in Sentence Encoders**Chandler May, Alex Wang, Shikha Bordia, et al.*2019 · 761 citations*](https://md.research.elamur.ai/free/en/papers/may-2019-measuring-social-biases-sentence-encoders/)
698. [**Colorless Green Recurrent Networks Dream Hierarchically**Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al.*2018 · 760 citations*](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/)
699. [**Learning Distributed Representations of Sentences from Unlabelled Data**Felix Hill, Kyunghyun Cho, Anna Korhonen*2016 · 756 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-distributed-representations-sentences-unlabelled/)
700. [**EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks**Jason Wei, Kai Zou*2019 · 755 citations*](https://md.research.elamur.ai/free/en/papers/wei-2019-eda-easy-data-augmentation-techniques/)
701. [**Sarcasm as Contrast between a Positive Sentiment and Negative Situation**Ellen Riloff, Ashequl Qadir, Prafulla Surve, et al.*2013 · 754 citations*](https://md.research.elamur.ai/free/en/papers/riloff-2013-sarcasm-as-contrast-between-positive/)
702. [**The Woman Worked as a Babysitter: On Biases in Language Generation**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.*2019 · 753 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/)
703. [**A Comparison of Algorithms for Maximum Entropy Parameter Estimation**Robert Malouf*2002 · 753 citations*](https://md.research.elamur.ai/free/en/papers/malouf-2002-comparison-algorithms-maximum-entropy-parameter/)
704. [**Reproducible scaling laws for contrastive language-image learning**Mehdi Cherti, Romain Beaumont, Ross Wightman, et al.*2022 · 751 citations*](https://md.research.elamur.ai/free/en/papers/cherti-2022-reproducible-scaling-laws-contrastive-language/)
705. [**An Improved Non-monotonic Transition System for Dependency Parsing**Matthew Honnibal, Mark Johnson*2015 · 751 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/)
706. [**Findings of the 2018 Conference on Machine Translation (WMT18)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 750 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/)
707. [**chrF++: words helping character n-grams**Maja Popović*2017 · 750 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/)
708. [**Universal Dependency Annotation for Multilingual Parsing**Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, et al.*2013 · 749 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2013-universal-dependency-annotation-multilingual-parsing/)
709. [**A Practical Part-of-Speech Tagger**Doug Cutting, Julian Kupiec, Jan Pedersen, et al.*1992 · 749 citations*](https://md.research.elamur.ai/free/en/papers/cutting-1992-practical-part-speech-tagger/)
710. [**Unified Pre-training for Program Understanding and Generation**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.*2021 · 748 citations*](https://md.research.elamur.ai/free/en/papers/ahmad-2021-unified-pre-training-program-understanding/)
711. [**AdapterHub: A Framework for Adapting Transformers**Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.*2020 · 748 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterhub-framework-adapting-transformers/)
712. [**Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?**Alon Jacovi, Yoav Goldberg*2020 · 748 citations*](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/)
713. [**Effects of Adjective Orientation and Gradability on Sentence Subjectivity**Vasileios Hatzivassiloglou, Janyce M. Wiebe*2000 · 746 citations*](https://md.research.elamur.ai/free/en/papers/hatzivassiloglou-2000-effects-adjective-orientation-gradability-sentence/)
714. [**ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning**Ahmed Masry, Do Xuan Long, Jia Qing Tan, et al.*2022 · 745 citations*](https://md.research.elamur.ai/free/en/papers/masry-2022-chartqa-benchmark-question-answering-about/)
715. [**Revealing the Dark Secrets of BERT**Olga Kovaleva, Alexey Romanov, Anna Rogers, et al.*2019 · 745 citations*](https://md.research.elamur.ai/free/en/papers/kovaleva-2019-revealing-dark-secrets-bert/)
716. [**An Efficient Algorithm for Projective Dependency Parsing**Joakim Nivre*2003 · 745 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2003-efficient-algorithm-projective-dependency-parsing/)
717. [**STaR: Bootstrapping Reasoning With Reasoning**Eric Zelikman, Yuhuai Wu, Jesse Mu, et al.*2022 · 743 citations*](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/)
718. [**Integrating Multimodal Information in Large Pretrained Transformers**Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, et al.*2020 · 743 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/)
719. [**Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model**Alexander Fabbri, Irene Li, Tianwei She, et al.*2019 · 743 citations*](https://md.research.elamur.ai/free/en/papers/fabbri-2019-multi-news-large-scale-multi/)
720. [**SentEval: An Evaluation Toolkit for Universal Sentence Representations**Alexis Conneau, Douwe Kiela*2018 · 743 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2018-senteval-evaluation-toolkit-universal-sentence/)
721. [**Identifying Sarcasm in Twitter: A Closer Look**Roberto González-Ibáñez, Smaranda Muresan, Nina Wacholder*2011 · 743 citations*](https://md.research.elamur.ai/free/en/papers/ibanez-2011-identifying-sarcasm-twitter-closer-look/)
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