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2020 – today
- 2024
[j5]Snigdha Chaturvedi
, Narendra Kumar, Rajesh Kumar:
A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study. Soft Comput. 28(6): 4759-4773 (2024)- [j4]Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi:
Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. 2024 (2024) - [c52]Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester:
Dual Process Masking for Dialogue Act Recognition. EMNLP (Findings) 2024: 15270-15283 - [c51]Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi:
SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. EMNLP (Findings) 2024: 16487-16506 - [c50]Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR 2024 - [c49]Anneliese Brei, Chao Zhao, Snigdha Chaturvedi:
Returning to the Start: Generating Narratives with Related Endpoints. NAACL (Short Papers) 2024: 101-112 - [c48]Haoyuan Li, Snigdha Chaturvedi:
Rationale-based Opinion Summarization. NAACL-HLT 2024: 8274-8292 - [i35]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi:
Incremental Extractive Opinion Summarization Using Cover Trees. CoRR abs/2401.08047 (2024) - [i34]Haoyuan Li, Snigdha Chaturvedi:
Rationale-based Opinion Summarization. CoRR abs/2404.00217 (2024) - [i33]Anneliese Brei, Chao Zhao, Snigdha Chaturvedi:
Returning to the Start: Generating Narratives with Related Endpoints. CoRR abs/2404.00829 (2024) - [i32]Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Exploring Safety-Utility Trade-Offs in Personalized Language Models. CoRR abs/2406.11107 (2024) - [i31]Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamás Sarlós, Snigdha Chaturvedi:
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers. CoRR abs/2406.15881 (2024) - [i30]Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Avinava Dubey, Snigdha Chaturvedi:
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. CoRR abs/2406.16257 (2024) - [i29]Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi:
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning. CoRR abs/2406.17740 (2024) - [i28]Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi:
SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. CoRR abs/2410.08698 (2024) - 2023
- [c47]Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Sustaining Fairness via Incremental Learning. AAAI 2023: 6797-6805 - [c46]Vikram Kumaran, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester:
Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers. ACL (Findings) 2023: 10978-10992 - [c45]Haoyuan Li, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Aspect-aware Unsupervised Extractive Opinion Summarization. ACL (Findings) 2023: 12662-12678 - [c44]Anvesh Rao Vijjini, Hanieh Deilamsalehy, Franck Dernoncourt, Snigdha Chaturvedi:
Curricular Next Conversation Prediction Pretraining for Transcript Segmentation. EACL (Findings) 2023: 2552-2562 - [c43]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Unsupervised Opinion Summarization Using Approximate Geodesics. EMNLP (Findings) 2023: 97-112 - [c42]Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi:
Affective and Dynamic Beam Search for Story Generation. EMNLP (Findings) 2023: 11792-11806 - [c41]Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi:
PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading. EMNLP (Findings) 2023: 13413-13424 - [c40]Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. ICML 2023: 5978-6004 - [c39]Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. NeurIPS 2023 - [i27]Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. CoRR abs/2302.00942 (2023) - [i26]Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR abs/2310.11401 (2023) - [i25]Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi:
Affective and Dynamic Beam Search for Story Generation. CoRR abs/2310.15079 (2023) - [i24]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. CoRR abs/2312.00194 (2023) - 2022
- [j3]Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Learning Fair Representations via Rate-Distortion Maximization. Trans. Assoc. Comput. Linguistics 10: 1159-1174 (2022) - [c38]Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi:
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. ACL (Findings) 2022: 613-621 - [c37]Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi:
Unsupervised Extractive Opinion Summarization Using Sparse Coding. ACL (1) 2022: 1209-1225 - [c36]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) 2022: 182-197 - [c35]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. EMNLP (Findings) 2022: 7397-7413 - [c34]Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi:
Towards Inter-character Relationship-driven Story Generation. EMNLP 2022: 8970-8987 - [c33]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP 2022: 11689-11698 - [c32]Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi:
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. NAACL-HLT (Findings) 2022: 1709-1718 - [i23]Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Learning Fair Representations via Rate-Distortion Maximization. CoRR abs/2202.00035 (2022) - [i22]Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi:
Unsupervised Extractive Opinion Summarization Using Sparse Coding. CoRR abs/2203.07921 (2022) - [i21]Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi:
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. CoRR abs/2203.10254 (2022) - [i20]Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi:
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. CoRR abs/2205.13183 (2022) - [i19]Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Sustaining Fairness via Incremental Learning. CoRR abs/2208.12212 (2022) - [i18]Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Unsupervised Opinion Summarization Using Approximate Geodesics. CoRR abs/2209.07496 (2022) - [i17]Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi:
Towards Inter-character Relationship-driven Story Generation. CoRR abs/2211.00676 (2022) - [i16]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR abs/2211.07078 (2022) - [i15]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR abs/2212.01476 (2022) - [i14]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR abs/2212.01956 (2022) - 2021
- [c31]Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava:
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL/IJCNLP (2) 2021: 71-79 - [c30]Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi:
Adversarial Scrubbing of Demographic Information for Text Classification. EMNLP (1) 2021: 550-562 - [c29]Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. EMNLP (Findings) 2021: 1734-1752 - [c28]Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) 2021: 3866-3873 - [c27]Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi:
Is Everything in Order? A Simple Way to Order Sentences. EMNLP (1) 2021: 10769-10779 - [i13]Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi:
Reformulating Sentence Ordering as Conditional Text Generation. CoRR abs/2104.07064 (2021) - [i12]Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. CoRR abs/2109.05438 (2021) - [i11]Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi:
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR abs/2109.06437 (2021) - [i10]Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Does Commonsense help in detecting Sarcasm? CoRR abs/2109.08588 (2021) - [i9]Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi:
Adversarial Scrubbing of Demographic Information for Text Classification. CoRR abs/2109.08613 (2021) - 2020
- [c26]Chao Zhao, Snigdha Chaturvedi:
Weakly-Supervised Opinion Summarization by Leveraging External Information. AAAI 2020: 9644-9651 - [c25]Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge:
Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. AAAI 2020: 13397-13403 - [c24]Alex Rinaldi, Jean E. Fox Tree, Snigdha Chaturvedi:
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts. ACL 2020: 7-18 - [c23]Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi:
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. ACL 2020: 2481-2491 - [c22]Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi:
Effective Forum Curation via Multi-task Learning. EDM 2020 - [c21]Faeze Brahman, Snigdha Chaturvedi:
Modeling Protagonist Emotions for Emotion-Aware Storytelling. EMNLP (1) 2020: 5277-5294 - [c20]Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi:
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. AACL/IJCNLP 2020: 588-597 - [e1]Claire Bonial, Tommaso Caselli, Snigdha Chaturvedi, Elizabeth Clark, Ruihong Huang, Mohit Iyyer, Alejandro Jaimes, Heng Ji, Lara J. Martin, Ben Miller, Teruko Mitamura, Nanyun Peng, Joel R. Tetreault:
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, NUSE@ACL 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-13-2 [contents] - [i8]Faeze Brahman, Snigdha Chaturvedi:
Modeling Protagonist Emotions for Emotion-Aware Storytelling. CoRR abs/2010.06822 (2020) - [i7]Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi:
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. CoRR abs/2010.09935 (2020)
2010 – 2019
- 2019
- [c19]Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. CoNLL 2019: 645-655 - [c18]Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth:
DiAd: Domain Adaptation for Learning at Scale. LAK 2019: 185-194 - [i6]Kanika Narang, Austin Chung, Hari Sundaram, Snigdha Chaturvedi:
Discovering Archetypes to Interpret Evolution of Individual Behavior. CoRR abs/1902.05567 (2019) - [i5]Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth:
Named Entity Recognition with Partially Annotated Training Data. CoRR abs/1909.09270 (2019) - [i4]Chao Zhao, Snigdha Chaturvedi:
Weakly-Supervised Opinion Summarization by Leveraging External Information. CoRR abs/1911.09844 (2019) - 2018
- [c17]Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth:
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. NAACL-HLT 2018: 252-262 - [c16]Snigdha Chaturvedi, Shashank Srivastava, Dan Roth:
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. NAACL-HLT (2) 2018: 673-678 - 2017
- [c15]Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III:
Unsupervised Learning of Evolving Relationships Between Literary Characters. AAAI 2017: 3159-3165 - [c14]Haoruo Peng, Snigdha Chaturvedi, Dan Roth:
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. CoNLL 2017: 173-183 - [c13]Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat:
Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses. EDM 2017 - [c12]Snigdha Chaturvedi, Haoruo Peng, Dan Roth:
Story Comprehension for Predicting What Happens Next. EMNLP 2017: 1603-1614 - 2016
- [b1]Snigdha Chaturvedi:
Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text. University of Maryland, College Park, MD, USA, 2016 - [j2]Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel:
Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 67(11): 2684-2696 (2016) - [c11]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. AAAI 2016: 2697-2703 - [c10]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Evolving Relationships Between Characters in Literary Novels. AAAI 2016: 2704-2710 - [c9]Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
Inferring Interpersonal Relations in Narrative Summaries. AAAI 2016: 2807-2813 - [c8]Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III:
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. HLT-NAACL 2016: 1534-1544 - 2015
- [i3]Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
Modeling Dynamic Relationships Between Characters in Literary Novels. CoRR abs/1511.09376 (2015) - [i2]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Ask, and shall you receive? Understanding Desire Fulfillment in Natural Language Text. CoRR abs/1511.09460 (2015) - [i1]Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
Inferring Interpersonal Relations in Narrative Summaries. CoRR abs/1512.00112 (2015) - 2014
- [j1]Snigdha Chaturvedi, Cody Dunne, Zahra Ashktorab, R. Zachariah, Ben Shneiderman:
Group-in-a-Box Meta-Layouts for Topological Clusters and Attribute-Based Groups: Space-Efficient Visualizations of Network Communities and Their Ties. Comput. Graph. Forum 33(8): 52-68 (2014) - [c7]Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
Predicting Instructor's Intervention in MOOC forums. ACL (1) 2014: 1501-1511 - [c6]Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan:
Joint question clustering and relevance prediction for open domain non-factoid question answering. WWW 2014: 503-514 - 2013
- [c5]Snigdha Chaturvedi, K. Hima Prasad, Tanveer A. Faruquie, Bhupesh Chawda, L. Venkata Subramaniam, Raghu Krishnapuram:
Automating pattern discovery for rule based data standardization systems. ICDE 2013: 1231-1241 - [c4]Snigdha Chaturvedi, Hal Daumé III, Taesun Moon:
Discriminatively Enhanced Topic Models. ICDM 2013: 985-990 - 2012
- [c3]K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania:
Automated selection of blocking columns for record linkage. SOLI 2012: 78-83 - [c2]K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania:
Managing data quality by identifying the noisiest data samples. SOLI 2012: 90-95 - 2010
- [c1]Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania:
Estimating accuracy for text classification tasks on large unlabeled data. CIKM 2010: 889-898
Coauthor Index
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