🧑‍🔬 Alan Ritter — all works

37 works · ← Alan Ritter

1. Deep Reinforcement Learning for Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Alan Ritter, et al.2016 · 1,502 citations
2. Named Entity Recognition in Tweets: An Experimental StudyConference on Empirical Methods in Natural Language Processing (EMNLP)Alan Ritter, Sam Clark, Mausam, et al.2011 · 1,458 citations
3. SemEval-2016 Task 4: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.2016 · 1,083 citations
4. Adversarial Learning for Neural Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Will Monroe, Tianlin Shi, et al.2017 · 1,063 citations
5. SemEval-2014 Task 9: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.2014 · 741 citations
6. Data-Driven Response Generation in Social MediaConference on Empirical Methods in Natural Language Processing (EMNLP)Alan Ritter, Colin Cherry, William B. Dolan2011 · 706 citations
7. Open domain event extraction from twitter ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetAlan Ritter et al.2012 · 675 citations
8. Unsupervised Modeling of Twitter ConversationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alan Ritter, Colin Cherry, Bill Dolan2010 · 562 citations
9. SemEval-2015 Task 10: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.2015 · 492 citations
10. Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy DataRecent Advances in Natural Language Processing (RANLP)Leon Derczynski, Alan Ritter, Sam Clark, et al.2013 · 317 citations
11. Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity RecognitionWorkshop on Noisy User-generated TextTimothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.2015 · 286 citations
12. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 273 citations
13. A Latent Dirichlet Allocation Method for Selectional PreferencesAnnual Meeting of the Association for Computational Linguistics (ACL)Alan Ritter, Mausam, Oren Etzioni2010 · 225 citations
14. SemEval-2013 Task 2: Sentiment Analysis in TwitterJoint Conference on Lexical and Computational Semantics (*SEM)Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.2013 · 201 citations
15. Paraphrasing for StyleWei Xu, Alan Ritter, Bill Dolan, et al.Machine translation · 196 citations
16. Extracting Lexically Divergent Paraphrases from Twitter ↗Transactions of the Association for Computational Linguistics · no summary yetWei Xu et al.2014 · 166 citations
17. Modeling Missing Data in Distant Supervision for Information Extraction ↗Transactions of the Association for Computational Linguistics · no summary yetAlan Ritter et al.2013 · 137 citations
18. Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech ActsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Alan Ritter, Claire Cardie, et al.2014 · 129 citations
19. Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetAshutosh Baheti et al.2018 · 125 citations
20. Code and Named Entity Recognition in StackOverflow ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetJeniya Tabassum et al.2020 · 123 citations
21. What Is This, Anyway: Automatic Hypernym Discovery. ↗no summary yetAlan Ritter, Stephen G. Soderland, Oren Etzioni2009 · 123 citations
22. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yang Chen, Hexiang Hu, Yi Luan, et al.2023 · 111 citations
23. An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Wuwei Lan, Yang Chen, Wei Xu, et al.2020 · 107 citations
24. Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetAshutosh Baheti et al.2021 · 98 citations
25. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J Ryan, Alan Ritter, et al.2024 · 95 citations
26. An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetChaitanya Kulkarni et al.2018 · 81 citations
27. Gathering and Generating Paraphrases from Twitter with Application to Normalization ↗Proceedings of the Sixth Workshop on Building and Using Comparable Corpora · no summary yetWei Xu, Alan Ritter, Ralph Grishman2013 · 58 citations
28. Machine Reading at the University of Washington ↗Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading · no summary yetHoifung Poon et al.2010 · 45 citations
29. Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game ↗arXiv (Cornell University) · no summary yetSam Toyer et al.2023 · 37 citations
30. Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks ↗arXiv (Cornell University) · no summary yetJiwei Li, Alan Ritter, Dan Jurafsky2015 · 33 citations
31. Are Large Language Models Robust Coreference Resolvers?arXiv:2305.14489Nghia T. Le, Alan Ritter2023 · 26 citations
32. Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsFindings of the Association for Computational LinguisticsNghia T. Le, Fan Bai, Alan Ritter2022 · 20 citations
33. Stanceosaurus: Classifying Stance Towards Multicultural MisinformationConference on Empirical Methods in Natural Language Processing (EMNLP)Jonathan Zheng, Ashutosh Baheti, Tarek Naous, et al.2022 · 16 citations
34. Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks ↗arXiv (Cornell University) · no summary yetJiwei Li, Alan Ritter, Dan Jurafsky2014 · 16 citations
35. Stanceosaurus: Classifying Stance Towards Multilingual MisinformationarXiv:2210.15954Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter2022 · 5 citations
36. Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks ↗arXiv (Cornell University) · no summary yetGuo, Ruohao et al.2025 · 4 citations
37. GeoRC: A Benchmark for Geolocation Reasoning ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Talreja, Joshua Diao, Jim James, et al.2026

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