Snigdha Chaturvedi

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 80

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Avinava Dubey, Snigdha Chaturvedi
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. CoRR (2024)
Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
Returning to the Start: Generating Narratives with Related Endpoints. CoRR (2024)
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) (2024)
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 (2024)
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 (2024)
Haoyuan Li, Snigdha Chaturvedi
Rationale-based Opinion Summarization. NAACL-HLT (2024)
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)
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)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
Incremental Extractive Opinion Summarization Using Cover Trees. CoRR (2024)
Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Exploring Safety-Utility Trade-Offs in Personalized Language Models. CoRR (2024)
Haoyuan Li, Snigdha Chaturvedi
Rationale-based Opinion Summarization. CoRR (2024)
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 (2023)
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)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. CoRR (2023)
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)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Dubey, Amr Ahmed, Snigdha Chaturvedi
Unsupervised Opinion Summarization Using Approximate Geodesics. EMNLP (Findings) (2023)
Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. NeurIPS (2023)
Haoyuan Li, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Aspect-aware Unsupervised Extractive Opinion Summarization. ACL (Findings) (2023)
Anvesh Rao Vijjini, Hanieh Deilamsalehy, Franck Dernoncourt, Snigdha Chaturvedi
Curricular Next Conversation Prediction Pretraining for Transcript Segmentation. EACL (Findings) (2023)
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 (2023)
Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Sustaining Fairness via Incremental Learning. AAAI (2023)
Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi
PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading. EMNLP (Findings) (2023)
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
Affective and Dynamic Beam Search for Story Generation. CoRR (2023)
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)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. NAACL-HLT (Findings) (2022)
Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR (2022)
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
Towards Inter-character Relationship-driven Story Generation. EMNLP (2022)
Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Learning Fair Representations via Rate-Distortion Maximization. CoRR (2022)
Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Learning Fair Representations via Rate-Distortion Maximization. Trans. Assoc. Comput. Linguistics 10 (2022)
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 (2022)
Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Sustaining Fairness via Incremental Learning. CoRR (2022)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR (2022)
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)
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 (2022)
Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP (2022)
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
Towards Inter-character Relationship-driven Story Generation. CoRR (2022)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) (2022)
Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi
Unsupervised Extractive Opinion Summarization Using Sparse Coding. CoRR (2022)
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Unsupervised Opinion Summarization Using Approximate Geodesics. CoRR (2022)
Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi
Unsupervised Extractive Opinion Summarization Using Sparse Coding. ACL (1) (2022)
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)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. CoRR (2022)
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
Reformulating Sentence Ordering as Conditional Text Generation. CoRR (2021)
Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
Is Everything in Order? A Simple Way to Order Sentences. EMNLP (1) (2021)
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)
Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi
Adversarial Scrubbing of Demographic Information for Text Classification. CoRR (2021)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) (2021)
Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
Does Commonsense help in detecting Sarcasm? CoRR (2021)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR (2021)
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 (2021)
Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL/IJCNLP (2) (2021)
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)
Alex Rinaldi, Jean E. Fox Tree, Snigdha Chaturvedi
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts. ACL (2020)
Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. AACL/IJCNLP (2020)
Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
Cue Me In: Content-Inducing Approaches to Interactive Story Generation. CoRR (2020)
Faeze Brahman, Snigdha Chaturvedi
Modeling Protagonist Emotions for Emotion-Aware Storytelling. CoRR (2020)
Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi
Effective Forum Curation via Multi-task Learning. EDM (2020)
Faeze Brahman, Snigdha Chaturvedi
Modeling Protagonist Emotions for Emotion-Aware Storytelling. EMNLP (1) (2020)
Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge
Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. AAAI (2020)
Chao Zhao, Snigdha Chaturvedi
Weakly-Supervised Opinion Summarization by Leveraging External Information. AAAI (2020)
Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. ACL (2020)
Kanika Narang, Austin Chung, Hari Sundaram, Snigdha Chaturvedi
Discovering Archetypes to Interpret Evolution of Individual Behavior. CoRR (2019)
Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth
DiAd: Domain Adaptation for Learning at Scale. LAK (2019)
Chao Zhao, Snigdha Chaturvedi
Weakly-Supervised Opinion Summarization by Leveraging External Information. CoRR (2019)
Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth
Named Entity Recognition with Partially Annotated Training Data. CoRR (2019)
Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth
Named Entity Recognition with Partially Annotated Training Data. CoNLL (2019)
Snigdha Chaturvedi, Shashank Srivastava, Dan Roth
Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. NAACL-HLT (2) (2018)
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)
Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III
Unsupervised Learning of Evolving Relationships Between Literary Characters. AAAI (2017)
Haoruo Peng, Snigdha Chaturvedi, Dan Roth
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. CoNLL (2017)
Snigdha Chaturvedi, Haoruo Peng, Dan Roth
Story Comprehension for Predicting What Happens Next. EMNLP (2017)
Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat
Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses. EDM (2017)
Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer
Modeling Evolving Relationships Between Characters in Literary Novels. AAAI (2016)
Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. AAAI (2016)
Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell
Inferring Interpersonal Relations in Narrative Summaries. AAAI (2016)
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) (2016)
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)
Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
Ask, and shall you receive? Understanding Desire Fulfillment in Natural Language Text. CoRR (2015)
Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer
Modeling Dynamic Relationships Between Characters in Literary Novels. CoRR (2015)
Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell
Inferring Interpersonal Relations in Narrative Summaries. CoRR (2015)
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)
Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
Predicting Instructor's Intervention in MOOC forums. ACL (1) (2014)
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) (2014)
Snigdha Chaturvedi, Hal Daumé III, Taesun Moon
Discriminatively Enhanced Topic Models. ICDM (2013)
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)
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)
K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania
Automated selection of blocking columns for record linkage. SOLI (2012)
Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania
Estimating accuracy for text classification tasks on large unlabeled data. CIKM (2010)

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Publication Activity (10 Years)

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Snigdha Chaturvedi