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title: "Arts and Humanities — papers, page 9"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 9 of 94 · 726–825, the most cited first — our summary of each, its ideas…"
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# 🎭 Arts and Humanities

9,296 papers · page 9 of 94 · 726–825 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Languages and linguistics, history, philosophy, literature, religion, music and the arts.

## Papers

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726. [**Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond**Mikel Artetxe, Holger Schwenk*2018 · 629 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2018-massively-multilingual-sentence-embeddings-zero/)
727. [**Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots**Yu Wu, Wei Wu, Chen Xing, et al.*2017 · 629 citations*](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/)
728. [**Universal Stanford dependencies: A cross-linguistic typology**Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, et al.*2014 · 627 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2014-universal-stanford-dependencies-cross-linguistic/)
729. [**On Using Monolingual Corpora in Neural Machine Translation**Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al.*2015 · 626 citations*](https://md.research.elamur.ai/free/en/papers/gulcehre-2015-using-monolingual-corpora-neural-machine/)
730. [**Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models**Stephen Clark, James R. Curran*2007 · 626 citations*](https://md.research.elamur.ai/free/en/papers/clark-2007-wide-coverage-efficient-statistical-parsing/)
731. [**Benchmarking Large Language Models in Retrieval-Augmented Generation**Jiawei Chen, Hongyu Lin, Xianpei Han, et al.*2023 · 625 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-benchmarking-large-language-models-retrieval/)
732. [**LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding**Yang Xu, Yiheng Xu, Tengchao Lv, et al.*2021 · 623 citations*](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/)
733. [**Efficient Intent Detection with Dual Sentence Encoders**Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, et al.*2020 · 623 citations*](https://md.research.elamur.ai/free/en/papers/casanueva-2020-efficient-intent-detection-dual-sentence/)
734. [**Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment**Regina Barzilay, Lillian Lee*2003 · 622 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2003-learning-paraphrase-unsupervised-approach-multiple/)
735. [**Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm**Bjarke Felbo, Alan Mislove, Anders Søgaard, et al.*2017 · 621 citations*](https://md.research.elamur.ai/free/en/papers/felbo-2017-millions-emoji-occurrences-learn-any/)
736. [**Harnessing Deep Neural Networks with Logic Rules**Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al.*2016 · 619 citations*](https://md.research.elamur.ai/free/en/papers/hu-2016-harnessing-deep-neural-networks-logic/)
737. [**Scalable Zero-shot Entity Linking with Dense Entity Retrieval**Ledell Wu, Fabio Petroni, Martin Josifoski, et al.*2020 · 618 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-scalable-zero-shot-entity-linking/)
738. [**Advances in Pre-Training Distributed Word Representations**Tomas Mikolov, Edouard Grave, Piotr Bojanowski, et al.*2017 · 617 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2017-advances-pre-training-distributed-word/)
739. [**Classifying Relations by Ranking with Convolutional Neural Networks**Cícero dos Santos, Bing Xiang, Bowen Zhou*2015 · 616 citations*](https://md.research.elamur.ai/free/en/papers/santos-2015-classifying-relations-ranking-convolutional-neural/)
740. [**MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework**Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.*2023 · 615 citations*](https://md.research.elamur.ai/free/en/papers/hong-2023-metagpt-meta-programming-multi/)
741. [**Higher-Order Coreference Resolution with Coarse-to-Fine Inference**Kenton Lee, Luheng He, Luke Zettlemoyer*2018 · 614 citations*](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/)
742. [**Regularizing and Optimizing LSTM Language Models**Stephen Merity, Nitish Shirish Keskar, Richard Socher*2017 · 614 citations*](https://md.research.elamur.ai/free/en/papers/merity-2017-regularizing-optimizing-lstm-language-models/)
743. [**e-SNLI: Natural Language Inference with Natural Language Explanations**Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.*2018 · 613 citations*](https://md.research.elamur.ai/free/en/papers/camburu-2018-e-snli-natural-language-inference/)
744. [**Parsing Argumentation Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2017 · 613 citations*](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/)
745. [**BloombergGPT: A Large Language Model for Finance**Shijie Wu, Ozan Irsoy, Steven Lu, et al.*2023 · 612 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-bloomberggpt-large-language-model-finance/)
746. [**CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank**Julia Hockenmaier, Mark Steedman*2007 · 612 citations*](https://md.research.elamur.ai/free/en/papers/hockenmaier-2007-ccgbank-corpus-ccg-derivations-dependency/)
747. [**Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism**Xiangrong Zeng, Daojian Zeng, Shizhu He, et al.*2018 · 610 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/)
748. [**Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions**Kavita Ganesan, ChengXiang Zhai, Jiawei Han*2010 · 610 citations*](https://md.research.elamur.ai/free/en/papers/ganesan-2010-opinosis-graph-based-approach-abstractive/)
749. [**FreeLing 3.0: Towards Wider Multilinguality**Lluís Padró, Evgeny Stanilovsky*2012 · 609 citations*](https://md.research.elamur.ai/free/en/papers/padro-2012-freeling-3-0-wider-multilinguality/)
750. [**Towards a Unified View of Parameter-Efficient Transfer Learning**Junxian He, Chunting Zhou, Xuezhe Ma, et al.*2021 · 607 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-towards-unified-view-parameter-efficient/)
751. [**Role-Play with Large Language Models**Murray Shanahan, Kyle McDonell, Laria Reynolds*2023 · 606 citations*](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/)
752. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
753. [**Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model**Shaden Smith, Mostofa Patwary, Brandon Norick, et al.*2022 · 602 citations*](https://md.research.elamur.ai/free/en/papers/smith-2022-using-deepspeed-megatron-train-megatron/)
754. [**RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering**Yingqi Qu, Yuchen Ding, Jing Liu, et al.*2021 · 602 citations*](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/)
755. [**Event Extraction by Answering (Almost) Natural Questions**Xinya Du, Claire Cardie*2020 · 602 citations*](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/)
756. [**Argument Mining: A Survey**John Lawrence, Chris Reed*2019 · 601 citations*](https://md.research.elamur.ai/free/en/papers/lawrence-2019-argument-mining-survey/)
757. [**Linguistically-Informed Self-Attention for Semantic Role Labeling**Emma Strubell, Patrick Verga, Daniel Andor, et al.*2018 · 601 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2018-linguistically-informed-self-attention-semantic/)
758. [**Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets**Burr Settles*2004 · 601 citations*](https://md.research.elamur.ai/free/en/papers/settles-2004-biomedical-named-entity-recognition-conditional/)
759. [**A Joint Neural Model for Information Extraction with Global Features**Ying Lin, Heng Ji, Fei Huang, et al.*2020 · 600 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/)
760. [**Attention Guided Graph Convolutional Networks for Relation Extraction**Zhijiang Guo, Yan Zhang, Wei Lu*2019 · 600 citations*](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/)
761. [**Translating Collocations for Bilingual Lexicons: A Statistical Approach**Frank Smadja, Kathleen R. McKeown, Vasileios Hatzivassiloglou*1996 · 599 citations*](https://md.research.elamur.ai/free/en/papers/smadja-1996-translating-collocations-bilingual-lexicons-statistical/)
762. [**Tagging English Text with a Probabilistic Model**Bernard Merialdo*1994 · 599 citations*](https://md.research.elamur.ai/free/en/papers/merialdo-1994-tagging-english-text-probabilistic-model/)
763. [**Transformation Networks for Target-Oriented Sentiment Classification**Xin Li, Lidong Bing, Wai Lam, et al.*2018 · 597 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-transformation-networks-target-oriented-sentiment/)
764. [**Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space**Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, et al.*2014 · 597 citations*](https://md.research.elamur.ai/free/en/papers/neelakantan-2014-efficient-non-parametric-estimation-multiple/)
765. [**Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces**Alice Coucke, Alaa Saade, Adrien Ball, et al.*2018 · 595 citations*](https://md.research.elamur.ai/free/en/papers/coucke-2018-snips-voice-platform-embedded-spoken/)
766. [**Co-Training for Cross-Lingual Sentiment Classification**Xiaojun Wan*2009 · 595 citations*](https://md.research.elamur.ai/free/en/papers/wan-2009-co-training-cross-lingual-sentiment/)
767. [**A Critique and Improvement of an Evaluation Metric for Text Segmentation**Lev Pevzner, Marti A. Hearst*2002 · 595 citations*](https://md.research.elamur.ai/free/en/papers/pevzner-2002-critique-improvement-evaluation-metric-text/)
768. [**FNet: Mixing Tokens with Fourier Transforms**James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.*2022 · 594 citations*](https://md.research.elamur.ai/free/en/papers/thorp-2022-fnet-mixing-tokens-fourier-transforms/)
769. [**Text Embeddings by Weakly-Supervised Contrastive Pre-training**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2022 · 594 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/)
770. [**Named Entity Recognition as Dependency Parsing**Juntao Yu, Bernd Bohnet, Massimo Poesio*2020 · 594 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/)
771. [**WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations**Mohammad Taher Pilehvar, Jose Camacho-Collados*2019 · 594 citations*](https://md.research.elamur.ai/free/en/papers/pilehvar-2019-wic-word-context-dataset-evaluating/)
772. [**A simple neural network module for relational reasoning**Adam Santoro, David Raposo, David G. T. Barrett, et al.*2017 · 593 citations*](https://md.research.elamur.ai/free/en/papers/santoro-2017-simple-neural-network-module-relational/)
773. [**Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions**Yoav Artzi, Luke Zettlemoyer*2013 · 593 citations*](https://md.research.elamur.ai/free/en/papers/artzi-2013-weakly-supervised-learning-semantic-parsers/)
774. [**The Flan Collection: Designing Data and Methods for Effective Instruction Tuning**Shayne Longpre, Le Hou, Tu Vu, et al.*2023 · 592 citations*](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/)
775. [**Deep Semantic Role Labeling: What Works and What's Next**Luheng He, Kenton Lee, Mike Lewis, et al.*2017 · 592 citations*](https://md.research.elamur.ai/free/en/papers/he-2017-deep-semantic-role-labeling-what/)
776. [**Relation Extraction: Perspective from Convolutional Neural Networks**Thien Huu Nguyen, Ralph Grishman*2015 · 592 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2015-relation-extraction-perspective-convolutional-neural/)
777. [**Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks**Yossi Adi, Einat Kermany, Yonatan Belinkov, et al.*2016 · 591 citations*](https://md.research.elamur.ai/free/en/papers/adi-2016-fine-grained-analysis-sentence-embeddings/)
778. [**Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings**Pengfei Liu, Shafiq Joty, Helen Meng*2015 · 590 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-fine-grained-opinion-mining-recurrent/)
779. [**Automatic Keyphrase Extraction: A Survey of the State of the Art**Kazi Saidul Hasan, Vincent Ng*2014 · 590 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2014-automatic-keyphrase-extraction-survey-state/)
780. [**Evaluating Gender Bias in Machine Translation**Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer*2019 · 589 citations*](https://md.research.elamur.ai/free/en/papers/stanovsky-2019-evaluating-gender-bias-machine-translation/)
781. [**Measuring Bias in Contextualized Word Representations**Keita Kurita, Nidhi Vyas, Ayush Pareek, et al.*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/kurita-2019-measuring-bias-contextualized-word-representations/)
782. [**What do you learn from context? Probing for sentence structure in contextualized word representations**Ian Tenney, Patrick Xia, Berlin Chen, et al.*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/)
783. [**DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis**Christos Baziotis, Nikos Pelekis, Christos Doulkeridis*2017 · 588 citations*](https://md.research.elamur.ai/free/en/papers/baziotis-2017-datastories-semeval-2017-task-4/)
784. [**PAWS: Paraphrase Adversaries from Word Scrambling**Yuan Zhang, Jason Baldridge, Luheng He*2019 · 587 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-paws-paraphrase-adversaries-word-scrambling/)
785. [**Dissecting Contextual Word Embeddings: Architecture and Representation**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 587 citations*](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/)
786. [**Lexical Normalisation of Short Text Messages: Makn Sens a #twitter**Bo Han, Timothy Baldwin*2011 · 587 citations*](https://md.research.elamur.ai/free/en/papers/han-2011-lexical-normalisation-short-text-messages/)
787. [**Instruction-Following Evaluation for Large Language Models**Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.*2023 · 586 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-instruction-following-evaluation-large-language/)
788. [**QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension**Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.*2018 · 586 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-qanet-combining-local-convolution-global/)
789. [**Deep multi-task learning with low level tasks supervised at lower layers**Anders Søgaard, Yoav Goldberg*2016 · 586 citations*](https://md.research.elamur.ai/free/en/papers/sogaard-2016-deep-multi-task-learning-low/)
790. [**Chinese Segmentation and New Word Detection using Conditional Random Fields**Fuchun Peng, Fangfang Feng, Andrew McCallum*2004 · 586 citations*](https://md.research.elamur.ai/free/en/papers/peng-2004-chinese-segmentation-new-word-detection/)
791. [**The Automated Acquisition of Topic Signatures for Text Summarization**Chin-Yew Lin, Eduard Hovy*2000 · 586 citations*](https://md.research.elamur.ai/free/en/papers/lin-2000-automated-acquisition-topic-signatures-text/)
792. [**A Robustly Optimized BERT Pre-training Approach with Post-training**Liu Zhuang, Lin Wayne, Shi Ya, et al.*2021 · 585 citations*](https://md.research.elamur.ai/free/en/papers/zhuang-2021-robustly-optimized-bert-pre-training/)
793. [**Minimum Bayes-Risk Decoding for Statistical Machine Translation**Shankar Kumar, William Byrne*2004 · 585 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2004-minimum-bayes-risk-decoding-statistical/)
794. [**s1: Simple test-time scaling**Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.*2025 · 584 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/)
795. [**AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation**Qingyun Wu, Gagan Bansal, Jieyu Zhang, et al.*2023 · 584 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-autogen-enabling-next-gen-llm/)
796. [**Top Accuracy and Fast Dependency Parsing is not a Contradiction**Bernd Bohnet*2010 · 583 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2010-top-accuracy-fast-dependency-parsing/)
797. [**Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer**Sudha Rao, Joel Tetreault*2018 · 582 citations*](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/)
798. [**Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling**Rada Mihalcea*2005 · 582 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2005-unsupervised-large-vocabulary-word-sense/)
799. [**Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models**Jianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.*2021 · 581 citations*](https://md.research.elamur.ai/free/en/papers/ni-2021-sentence-t5-scalable-sentence-encoders/)
800. [**Towards a Human-like Open-Domain Chatbot**Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.*2020 · 581 citations*](https://md.research.elamur.ai/free/en/papers/adiwardana-2020-towards-human-like-open-domain/)
801. [**Dynamic Coattention Networks For Question Answering**Caiming Xiong, Victor Zhong, Richard Socher*2016 · 581 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2016-dynamic-coattention-networks-question-answering/)
802. [**The WebNLG Challenge: Generating Text from RDF Data**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 580 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/)
803. [**Solving General Arithmetic Word Problems**Subhro Roy, Dan Roth*2015 · 580 citations*](https://md.research.elamur.ai/free/en/papers/roy-2015-solving-general-arithmetic-word-problems/)
804. [**Learning subjective nouns using extraction pattern bootstrapping**Ellen Riloff, Janyce Wiebe, Theresa Wilson*2003 · 580 citations*](https://md.research.elamur.ai/free/en/papers/riloff-2003-learning-subjective-nouns-extraction-pattern/)
805. [**Refining Event Extraction through Cross-Document Inference**Heng Ji, Ralph Grishman*2008 · 577 citations*](https://md.research.elamur.ai/free/en/papers/ji-2008-refining-event-extraction-through-cross/)
806. [**Improving Machine Translation Performance by Exploiting Non-Parallel Corpora**Dragos Stefan Munteanu, Daniel Marcu*2005 · 577 citations*](https://md.research.elamur.ai/free/en/papers/munteanu-2005-improving-machine-translation-performance-exploiting/)
807. [**Relation Classification via Multi-Level Attention CNNs**Linlin Wang, Zhu Cao, Gerard de Melo, et al.*2016 · 576 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-relation-classification-multi-level-attention/)
808. [**Minimum Risk Training for Neural Machine Translation**Shiqi Shen, Yong Cheng, Zhongjun He, et al.*2015 · 576 citations*](https://md.research.elamur.ai/free/en/papers/shen-2015-minimum-risk-training-neural-machine/)
809. [**An efficient framework for learning sentence representations**Lajanugen Logeswaran, Honglak Lee*2018 · 575 citations*](https://md.research.elamur.ai/free/en/papers/logeswaran-2018-efficient-framework-learning-sentence-representations/)
810. [**Multi-grained Attention Network for Aspect-Level Sentiment Classification**Feifan Fan, Yansong Feng, Dongyan Zhao*2018 · 573 citations*](https://md.research.elamur.ai/free/en/papers/fan-2018-multi-grained-attention-network-aspect/)
811. [**A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes**Yee Whye Teh*2006 · 573 citations*](https://md.research.elamur.ai/free/en/papers/teh-2006-hierarchical-bayesian-language-model-based/)
812. [**PhoBERT: Pre-trained language models for Vietnamese**Dat Quoc Nguyen, Anh Tuan Nguyen*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/)
813. [**AudioLM: a Language Modeling Approach to Audio Generation**Zalan Borsos, Raphael Marinier, Damien Vincent, et al.*2022 · 570 citations*](https://md.research.elamur.ai/free/en/papers/borsos-2022-audiolm-language-modeling-approach-audio/)
814. [**Multilingual Universal Sentence Encoder for Semantic Retrieval**Yinfei Yang, Daniel Cer, Amin Ahmad, et al.*2020 · 570 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-multilingual-universal-sentence-encoder-semantic/)
815. [**An Unsupervised Aspect-Sentiment Model for Online Reviews**Samuel Brody, Noemie Elhadad*2010 · 570 citations*](https://md.research.elamur.ai/free/en/papers/brody-2010-unsupervised-aspect-sentiment-model-online/)
816. [**Extractive Summarization as Text Matching**Ming Zhong, Pengfei Liu, Yiran Chen, et al.*2020 · 569 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/)
817. [**A Survey on Recent Advances in Named Entity Recognition from Deep Learning models**Vikas Yadav, Steven Bethard*2018 · 569 citations*](https://md.research.elamur.ai/free/en/papers/yadav-2018-survey-recent-advances-named-entity/)
818. [**Collecting Image Annotations Using Amazon's Mechanical Turk**Cyrus Rashtchian, Peter Young, Micah Hodosh, et al.*2010 · 569 citations*](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/)
819. [**Representing Text Chunks**Erik F. Tjong Kim Sang, Jorn Veenstra*1999 · 569 citations*](https://md.research.elamur.ai/free/en/papers/sang-1999-representing-text-chunks/)
820. [**Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting**Miles Turpin, Julian Michael, Ethan Perez, et al.*2023 · 568 citations*](https://md.research.elamur.ai/free/en/papers/turpin-2023-language-models-don-t-always/)
821. [**Learning How to Ask: Querying LMs with Mixtures of Soft Prompts**Guanghui Qin, Jason Eisner*2021 · 568 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-learning-ask-querying-lms-mixtures/)
822. [**Massive Exploration of Neural Machine Translation Architectures**Denny Britz, Anna Goldie, Minh-Thang Luong, et al.*2017 · 568 citations*](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/)
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