🧑‍🔬 Ramesh Nallapati — all works

30 works · ← Ramesh Nallapati

1. Abstractive Text Summarization using Sequence-to-sequence RNNs and BeyondConference on Computational Natural Language Learning (CoNLL)Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, et al.2016 · 3,260 citations
2. SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of DocumentsProceedings of the AAAI Conference on Artificial IntelligenceRamesh Nallapati, Feifei Zhai, Bowen Zhou2016 · 1,575 citations
3. Multi-instance Multi-label Learning for Relation Extraction ↗Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning · no summary yetMihai Surdeanu et al.2012 · 813 citations
4. Pointing the Unknown WordsAnnual Meeting of the Association for Computational Linguistics (ACL)Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 651 citations
5. OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPramuditha Perera, Ramesh M. Nallapati, Bing Xiang2019 · 586 citations
6. Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.2019 · 303 citations
7. Supporting Clustering with Contrastive LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dejiao Zhang, Feng Nan, Xiaokai Wei, et al.2021 · 239 citations
8. Entity-level Factual Consistency of Abstractive Text SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.2021 · 207 citations
9. Topic Modeling with Wasserstein Autoencoders ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetFeng Nan et al.2019 · 171 citations
10. Improving Factual Consistency of Abstractive Summarization via Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, et al.2021 · 129 citations
11. Domain Adaptation with BERT-based Domain Classification and Data Selection ↗Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) · no summary yetXiaofei Ma et al.2019 · 122 citations
12. End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetSiamak Shakeri et al.2020 · 120 citations
13. Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetAlexander Fabbri et al.2020 · 110 citations
14. Coherence-Aware Neural Topic Modeling ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetRan Ding, Ramesh Nallapati, Bing Xiang2018 · 106 citations
15. Labeled LDA: A supervised topic model for credit attribution in multi-labeled corporaConference on Empirical Methods in Natural Language Processing (EMNLP)Daniel Ramage, David Hall, Ramesh Nallapati, et al.2009 · 87 citations
16. Multi-lingual Evaluation of Code Generation Models ↗arXiv:2210.14868 · no summary yetBen Athiwaratkun et al.2022 · 86 citations
17. ReCode: Robustness Evaluation of Code Generation Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShiqi Wang et al.2023 · 68 citations
18. Legal Docket Classification: Where Machine Learning Stumbles ↗Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yetRamesh Nallapati, Christopher D. Manning2008 · 60 citations
19. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file ContextLanguage Resources and Evaluation Conference (LREC)Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.2024 · 45 citations
20. DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetZheng Li et al.2022 · 34 citations
21. Exploring Continual Learning for Code Generation Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetPrateek Yadav et al.2023 · 26 citations
22. TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents ↗no summary yetRamesh M. Nallapati, Daniel A. McFarland, Christopher D. Manning2011 · 25 citations
23. Efficient Few-Shot Fine-Tuning for Opinion Summarization ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetArthur Brazinskas et al.2022 · 23 citations
24. Risk analysis for intellectual property litigation ↗International Conference on Artificial Intelligence and Law · no summary yetMihai Surdeanu et al.2011 · 18 citations
25. Code Representation Learning At Scale ↗arXiv (Cornell University) · no summary yetDejiao Zhang et al.2024 · 13 citations
26. CorrActive Learning: Learning from Noisy Data through Human Interaction ↗no summary yetRamesh M. Nallapati, Mihai Surdeanu, Christopher D. Manning2009 · 8 citations
27. Legal Claim Identification: Information Extraction with Hierarchically Labeled Data ↗no summary yetMihai Surdeanu, Ramesh M. Nallapati, Christopher D. Manning2012 · 3 citations
28. Who Leads Whom: Topical Lead-Lag Analysis across corpora ↗no summary yetXiaolin Shi et al.2010 · 2 citations
29. Blind Domain Transfer for Named Entity Recognition using Generative Latent Topic Models ↗no summary yetRamesh M. Nallapati, Mihai Surdeanu, Christopher D. Manning2016
30. Legal Docket-Entry Classification: Where Machine Learning stumbles ↗no summary yetRamesh M. Nallapati, Christopher D. Manning2011

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