---
title: "Who cites Yasemin Altun — 243 papers of our library"
description: "243 papers of the Elamur Research library cite the works of Yasemin Altun, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/yasemin-altun/cited-by/"
---
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# Who cites Yasemin Altun

244 citations of their works from 243 papers of our library (of the 141,840 whose bibliographies we read) · 32 with a page here, the most cited first · [← Yasemin Altun](https://md.research.elamur.ai/free/en/authors/yasemin-altun/)

1. [**Gemini: A Family of Highly Capable Multimodal Models arXiv:2312.11805**Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.*2023 · 2,957 citations*](https://md.research.elamur.ai/free/en/papers/gemini-team-2023-gemini-family-highly-capable-multimodal/)
2. **[End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures](https://md.research.elamur.ai/free/en/papers/miwa-2016-end-end-relation-extraction-lstms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Makoto Miwa, Mohit Bansal*2016 · 1,603 citations*
3. **[Semantic Compositionality through Recursive Matrix-Vector Spaces](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Brody Huval, Christopher D. Manning, et al.*2012 · 1,571 citations*
4. **[Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sumit Chopra, Michael Auli, Alexander M. Rush*2016 · 1,091 citations*
5. **[Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 785 citations*
6. **[Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yan Xu, Lili Mou, Ge Li, et al.*2015 · 774 citations*
7. [**The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies**Mihai Surdeanu, Richard Johansson, Adam Meyers, et al.*2008 · 728 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2008-conll-2008-shared-task-joint/)
8. **[Event Extraction by Answering (Almost) Natural Questions](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinya Du, Claire Cardie*2020 · 602 citations*
9. **[Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 558 citations*
10. **[Metaphor Detection with Cross-Lingual Model Transfer](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-metaphor-detection-cross-lingual-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, et al.*2014 · 370 citations*
11. **[Sentence Compression by Deletion with LSTMs](https://md.research.elamur.ai/free/en/papers/filippova-2015-sentence-compression-deletion-lstms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.*2015 · 338 citations*
12. **[Controlling Output Length in Neural Encoder-Decoders](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 323 citations*
13. **[Identifying beneficial task relations for multi-task learning in deep neural networks](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Joachim Bingel, Anders Søgaard*2017 · 306 citations*
14. [**Challenges and Applications of Large Language Models arXiv:2307.10169**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/)
15. **[OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/liu-2023-ocrbench-hidden-mystery-ocr-large/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Yuliang Liu, Zhang Li, Mingxin Huang, et al.*2023 · 297 citations*
16. **[Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*
17. [**Generative Representational Instruction Tuning arXiv:2402.09906**Niklas Muennighoff, Hongjin Su, Liang Wang, et al.*2024 · 165 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/)
18. **[LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.*2024 · 159 citations*
19. **[Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut](https://md.research.elamur.ai/free/en/papers/schneider-2014-discriminative-lexical-semantic-segmentation-gaps/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nathan Schneider, Emily Danchik, Chris Dyer, et al.*2014 · 159 citations*
20. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 131 citations*
21. [**Nomic Embed: Training a Reproducible Long Context Text Embedder arXiv:2402.01613**Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/)
22. [**Comprehensive Annotation of Multiword Expressions in a Social Web Corpus**Nathan Schneider, Spencer Onuffer, Nora Kazour, et al.*2014 · 120 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2014-comprehensive-annotation-multiword-expressions-social/)
23. **[UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning](https://md.research.elamur.ai/free/en/papers/masry-2023-unichart-universal-vision-language-pretrained/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.*2023 · 119 citations*
24. [**A Corpus and Model Integrating Multiword Expressions and Supersenses**Nathan Schneider, Noah A. Smith*2015 · 111 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2015-corpus-model-integrating-multiword-expressions/)
25. **[SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*
26. [**A Hierarchy with, of, and for Preposition Supersenses**Nathan Schneider, Vivek Srikumar, Jena D. Hwang, et al.*2015 · 64 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2015-hierarchy-preposition-supersenses/)
27. **[Augmenting English Adjective Senses with Supersenses](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-augmenting-english-adjective-senses-supersenses/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, et al.*2014 · 57 citations*
28. **[A Comparative Study on Generalization of Semantic Roles in FrameNet](https://md.research.elamur.ai/free/en/papers/matsubayashi-2009-comparative-study-generalization-semantic-roles/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuichiroh Matsubayashi, Naoaki Okazaki, Jun'ichi Tsujii*2009 · 39 citations*
29. **[A Structured Distributional Semantic Model for Event Co-reference](https://md.research.elamur.ai/free/en/papers/goyal-2013-structured-distributional-semantic-model-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, et al.*2013 · 24 citations*
30. [**Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study**Nathan Schneider, Behrang Mohit, Kemal Oflazer, et al.*2012 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2012-coarse-lexical-semantic-annotation-supersenses/)
31. **[Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*
32. [**Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexicon COLING 2025 (Abu Dhabi)**Nicolas Angleraud, Lucie Barque, Marie Candito*2025*](https://md.research.elamur.ai/free/en/papers/angleraud-2025-french-wiktionary-supersenses/)

211 more citing papers of our library have no page here yet.

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