--- title: "Arts and Humanities — papers" description: "Arts and Humanities: 7,398 papers of the Elamur Research library · page 1 of 75 · 1–25, the most cited first — our summary of each, its ideas, references…" canonical: "https://research.elamur.ai/free/en/shelves/arts-and-humanities/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/arts-and-humanities/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / Arts and Humanities # 🎭 Arts and Humanities 7,398 papers · page 1 of 75 · 1–25 · 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. ## Subfields The sub-shelves of Arts and Humanities, the most papers first, with the two OpenAlex topics most of their papers here are on. 1. [**Language and Linguistics**Natural Language Processing Techniques · Topic Modeling*7,340 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 2. [**Literature and Literary Theory**Digital Humanities and Scholarship · Discourse Analysis in Language Studies*241 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) 3. [**Religious studies**Biblical Studies and Interpretation · Christian Theology and Mission*186 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/religious-studies/) 4. [**Philosophy**Linguistics and Discourse Analysis · Epistemology, Ethics, and Metaphysics*149 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/) 5. [**Archeology**Ancient Near East History · Archaeology and Historical Studies*40 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/archeology/) 6. [**History**Libraries, Manuscripts, and Books · History of Emotions Research*22 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history/) 7. [**History and Philosophy of Science**Academic Writing and Publishing · Cybernetics and Technology in Society*11 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) 8. [**Classics**Byzantine Studies and History · Historical, Literary, and Cultural Studies*10 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/classics/) 9. [**Music**Musicology and Musical Analysis · Diverse Musicological Studies*4 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/music/) 10. [**Conservation**Digital and Traditional Archives Management*2 papers*](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/conservation/) ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/2/) … [75](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/75/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/2/) 1. [**Bleu: a Method for Automatic Evaluation of Machine Translation**Kishore Papineni, Salim Roukos, Todd Ward, et al.*2002 · 32,065 citations*](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/) 2. [**Latent Dirichlet Allocation**David M. Blei, Andrew Y. Ng, Michael I. Jordan*2003 · 28,297 citations*](https://md.research.elamur.ai/free/en/papers/blei-2003-latent-dirichlet-allocation/) 3. [**Neural Machine Translation by Jointly Learning to Align and Translate**Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio*2014 · 18,908 citations*](https://md.research.elamur.ai/free/en/papers/bahdanau-2014-neural-machine-translation-jointly-learning/) 4. [**Attention Is All You Need**Ashish Vaswani, Noam Shazeer, Niki Parmar, et al.*2017 · 16,413 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/) 5. [**Convolutional Neural Networks for Sentence Classification**Yoon Kim*2014 · 16,218 citations*](https://md.research.elamur.ai/free/en/papers/kim-2014-convolutional-neural-networks-sentence-classification/) 6. [**Transformers: State-of-the-Art Natural Language Processing**Thomas Wolf, Lysandre Debut, Victor Sanh, et al.*2020 · 15,591 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/) 7. [**Auto-Encoding Variational Bayes**Diederik P Kingma, Max Welling*2013 · 14,991 citations*](https://md.research.elamur.ai/free/en/papers/kingma-2013-auto-encoding-variational-bayes/) 8. [**BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension**Mike Lewis, Yinhan Liu, Naman Goyal, et al.*2020 · 12,752 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-bart-denoising-sequence-sequence-pre/) 9. [**GPT-4 Technical Report**OpenAI, Josh Achiam, Steven Adler, et al.*2023 · 12,694 citations*](https://md.research.elamur.ai/free/en/papers/openai-2023-gpt-4-technical-report/) 10. [**Chain-of-Thought Prompting Elicits Reasoning in Large Language Models**Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.*2022 · 11,278 citations*](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/) 11. [**Politeness: Some Universals in Language Usage**Penelope Brown, Stephen C. Levinson, John J. Gumperz*1987 · 10,545 citations*](https://md.research.elamur.ai/free/en/papers/brown-1987-politeness-some-universals-language-usage/) 12. [**SQuAD: 100,000+ Questions for Machine Comprehension of Text**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.*2016 · 9,488 citations*](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/) 13. [**The Stanford CoreNLP Natural Language Processing Toolkit**Christopher Manning, Mihai Surdeanu, John Bauer, et al.*2014 · 8,620 citations*](https://md.research.elamur.ai/free/en/papers/manning-2014-stanford-corenlp-natural-language-processing/) 14. [**Text Categorization with Support Vector Machines: Learning with Many Relevant Features**Thorsten Joachims*1998 · 8,304 citations*](https://md.research.elamur.ai/free/en/papers/joachims-1998-text-categorization-support-vector-machines/) 15. [**BioBERT: a pre-trained biomedical language representation model for biomedical text mining**Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al.*2019 · 8,281 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/) 16. [**Thumbs up? Sentiment Classification using Machine Learning Techniques**Bo Pang, Lillian Lee, Shivakumar Vaithyanathan*2002 · 7,756 citations*](https://md.research.elamur.ai/free/en/papers/pang-2002-thumbs-up-sentiment-classification-machine/) 17. [**On the Properties of Neural Machine Translation: Encoder-Decoder Approaches**Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, et al.*2014 · 7,734 citations*](https://md.research.elamur.ai/free/en/papers/cho-2014-properties-neural-machine-translation-encoder/) 18. [**GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding**Alex Wang, Amanpreet Singh, Julian Michael, et al.*2018 · 7,141 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-glue-multi-task-benchmark-analysis/) 19. [**Representation Learning with Contrastive Predictive Coding**Aaron van den Oord, Yazhe Li, Oriol Vinyals*2018 · 6,826 citations*](https://md.research.elamur.ai/free/en/papers/oord-2018-representation-learning-contrastive-predictive-coding/) 20. [**Speech Acts: An Essay in the Philosophy of Language**John R. Searle*1969 · 6,673 citations*](https://md.research.elamur.ai/free/en/papers/searle-1969-speech-acts/) 21. [**Natural Language Processing (almost) from Scratch**Ronan Collobert, Jason Weston, Leon Bottou, et al.*2011 · 6,099 citations*](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/) 22. [**GloVe: Global Vectors for Word Representation**Jeffrey Pennington, Richard Socher, Christopher Manning*2014 · 5,962 citations*](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/) 23. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,947 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) 24. [**Emerging Properties in Self-Supervised Vision Transformers**Mathilde Caron, Hugo Touvron, Ishan Misra, et al.*2021 · 5,910 citations*](https://md.research.elamur.ai/free/en/papers/caron-2021-emerging-properties-self-supervised-vision/) 25. [**Distributed Representations of Sentences and Documents**Quoc V. Le, Tomas Mikolov*2014 · 5,747 citations*](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/) **1** [2](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/2/) … [75](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/75/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/2/) Updated 23 October 2026 - [← previous shelf Agricultural and Biological Sciences](https://md.research.elamur.ai/free/en/shelves/agricultural-and-biological-sciences/) - [next shelf → Biochemistry, Genetics and Molecular Biology](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)