🧑‍🔬 Ani Nenkova — all works

32 works · ← Ani Nenkova

1. Evaluating Content Selection in Summarization: The Pyramid Method ↗Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004 · no summary yetAni Nenkova, Rebecca Passonneau2004 · 756 citations
2. Automatic sense prediction for implicit discourse relations in textEmily Pitler, Annie Louis, Ani NenkovaEnglish · 418 citations
3. Using Syntax to Disambiguate Explicit Discourse Connectives in TextEmily Pitler, Ani NenkovaEnglish · 408 citations
4. A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical LiteratureAnnual Meeting of the Association for Computational Linguistics (ACL)Benjamin Nye, Junyi Jessy Li, Roma Patel, et al.2018 · 295 citations
5. Automatically Assessing Machine Summary Content Without a Gold StandardComputational LinguisticsAnnie Louis, Ani Nenkova2013 · 257 citations
6. Revisiting Readability: A Unified Framework for Predicting Text QualityConference on Empirical Methods in Natural Language Processing (EMNLP)Emily Pitler, Ani Nenkova2008 · 253 citations
7. Easily Identifiable Discourse RelationsInternational Conference on Computational Linguistics (COLING)Emily Pitler, Mridhula Raghupathy, Hena Mehta, et al.2008 · 206 citations
8. Syntactic Simplification for Improving Content Selection in Multi-Document Summarization ↗COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics · no summary yetAdvaith Siddharthan, Ani Nenkova, Kathleen McKeown2004 · 124 citations
9. Aggregating and Predicting Sequence Labels from Crowd Annotations ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAn Thanh Nguyen et al.2017 · 112 citations
10. Fast and Accurate Prediction of Sentence Specificity ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJunyi Li, Ani Nenkova2015 · 106 citations
11. What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism DomainTransactions of the Association for Computational Linguistics (TACL)Annie Louis, Ani Nenkova2013 · 103 citations
12. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsarXiv:2310.15140Sicheng Zhu, Ruiyi Zhang, Bang An, et al.2023 · 90 citations
13. Temporal Effects on Pre-trained Models for Language Processing TasksTransactions of the Association for Computational Linguistics (TACL)Oshin Agarwal, Ani Nenkova2022 · 84 citations
14. Using entity features to classify implicit discourse relationsSIGDIAL ConferenceAnnie Louis, Aravind Joshi, Rashmi Prasad, et al.2010 · 73 citations
15. Information Status Distinctions and Referring Expressions: An Empirical Study of References to People in News SummariesComputational LinguisticsAdvaith Siddharthan, Ani Nenkova, Kathleen McKeown2011 · 70 citations
16. Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization ↗Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions · no summary yetSurabhi Gupta, Ani Nenkova, Dan Jurafsky2007 · 66 citations
17. Inducing Lexical Style Properties for Paraphrase and Genre Differentiation ↗Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetEllie Pavlick, Ani Nenkova2015 · 64 citations
18. Assessing the Discourse Factors that Influence the Quality of Machine Translation ↗Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetJunyi Jessy Li, Marine Carpuat, Ani Nenkova2014 · 63 citations
19. THE (NON)UTILITY OF LINGUISTIC FEATURES FOR PREDICTING PROMINENCE IN SPONTANEOUS SPEECH ↗IEEE Spoken Language Technology Workshop (SLT) · no summary yetJason Brenier et al.2006 · 57 citations
20. To Memorize or to Predict: Prominence labeling in Conversational Speech ↗Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference · no summary yetAni Nenkova et al.2007 · 54 citations
21. Detecting prominence in conversational speech: pitch accent, givenness and focus ↗Speech prosody · no summary yetVivek Kumar Rangarajan Sridhar et al.2008 · 39 citations
22. Columbia University at DUC 2004 ↗no summary yetKathleen R. McKeown et al.2004 · 39 citations
23. Reducing Sparsity Improves the Recognition of Implicit Discourse RelationsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Junyi Jessy Li, Ani Nenkova2014 · 32 citations
24. Cross-lingual Discourse Relation Analysis: A corpus study and a semi-supervised classification systemInternational Conference on Computational Linguistics (COLING)Junyi Jessy Li, Marine Carpuat, Ani Nenkova2014 · 28 citations
25. The Columbia Multi-Document Summarizer for DUC 2002 ↗no summary yetKathleen R. McKeown et al.2002 · 18 citations
26. Evaluation of named entity coreferenceWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, et al.2019 · 14 citations
27. Predicting the Fluency of Text with Shallow Structural Features: Case Studies of Machine Translation and Human-Written Text ↗Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009) · no summary yetJieun Chae, Ani Nenkova2009 · 13 citations
28. Columbia at the Document Understanding Conference 2003 ↗no summary yetKathleen R. McKeown et al.2003 · 8 citations
29. Columbia's Newsblaster: New Features and Future Directions ↗Companion Volume of the Proceedings of HLT-NAACL 2003 - Demonstrations · no summary yetKathleen McKeown et al.2003 · 7 citations
30. Named Person Coreference in English NewsarXiv:1810.11476Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, et al.2018 · 3 citations
31. The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in EnglishFindings of the Association for Computational LinguisticsOshin Agarwal, Ani Nenkova2021 · 2 citations
32. Columbia’s newsblaster: New features and future directions (demo ↗no summary yetKathleen Mckeown et al.2003

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