Snigdha Chaturvedi

113 papers A* 22A 4B 4Journal 48Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning. AAAI Yeo Jin Kim, Daeun Hong, Tianshu Wang, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester
2026	A	`conf`	Collaborative Dialogue Analysis for Productive Problem Solving. LAK Yeo Jin Kim, Daeun Hong, Xiaotian Zou, Cindy E. Hmelo-Silver, Wookhee Min, Snigdha Chaturvedi, James C. Lester
2025	—	`conf`	Classifying Unreliable Narrators with Large Language Models. ACL (1) Anneliese Brei, Katharine Henry, Abhisheik Sharma, Shashank Srivastava, Snigdha Chaturvedi
2025	J	`jnl`	Classifying Unreliable Narrators with Large Language Models. CoRR Anneliese Brei, Katharine Henry, Abhisheik Sharma, Shashank Srivastava, Snigdha Chaturvedi
2025	—	`conf`	Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering. AIED (3) Yeo Jin Kim, Daeun Hong, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester
2025	J	`jnl`	Comparative Personalization for Multi-document Summarization. CoRR Haoyuan Li, Snigdha Chaturvedi
2025	—	`conf`	Coverage-based Fairness in Multi-document Summarization. NAACL (Long Papers) Haoyuan Li, Yusen Zhang, Rui Zhang, Snigdha Chaturvedi
2025	J	`jnl`	CreativityPrism: A Holistic Benchmark for Large Language Model Creativity. CoRR Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu, Bhiman Kumar Baghel, Anneliese Brei, Ximing Lu, Meng Jiang, Faeze Brahman, Snigdha Chaturvedi, Haw-Shiuan Chang, Daniel Khashabi, Xiang Lorraine Li
2025	—	`conf`	Exploring Safety-Utility Trade-Offs in Personalized Language Models. NAACL (Long Papers) Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2025	A	`conf`	Fundamental Limits of Perfect Concept Erasure. AISTATS Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025	J	`jnl`	Fundamental Limits of Perfect Concept Erasure. CoRR Somnath Basu Roy Chowdhury, Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
2025	—	`conf`	Improving Fairness of Large Language Models in Multi-document Summarization. ACL (2) Haoyuan Li, Rui Zhang, Snigdha Chaturvedi
2025	J	`jnl`	Improving Fairness of Large Language Models in Multi-document Summarization. CoRR Haoyuan Li, Rui Zhang, Snigdha Chaturvedi
2025	J	`jnl`	MarginSel : Max-Margin Demonstration Selection for LLMs. CoRR Rajeev Bhatt Ambati, James C. Lester, Shashank Srivastava, Snigdha Chaturvedi
2025	J	`jnl`	Socratic Students: Teaching Language Models to Learn by Asking Questions. CoRR Rajeev Bhatt Ambati, Tianyi Niu, Aashu Singh, Shlok Mishra, Snigdha Chaturvedi, Shashank Srivastava
2025	A*	`conf`	Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. ICLR Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi
2024	J	`jnl`	A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study. Soft Comput. Snigdha Chaturvedi, Narendra Kumar, Rajesh Kumar
2024	J	`jnl`	Coverage-based Fairness in Multi-document Summarization. CoRR Haoyuan Li, Yusen Zhang, Rui Zhang, Snigdha Chaturvedi
2024	—	`conf`	Dual Process Masking for Dialogue Act Recognition. EMNLP (Findings) Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester
2024	A*	`conf`	Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. ICLR Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2024	J	`jnl`	Exploring Safety-Utility Trade-Offs in Personalized Language Models. CoRR Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2024	A*	`conf`	Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers. NeurIPS Krzysztof Marcin Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Kumar Avinava Dubey, Tamás Sarlós, Snigdha Chaturvedi
2024	J	`jnl`	Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers. CoRR Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamás Sarlós, Snigdha Chaturvedi
2024	J	`jnl`	Incremental Extractive Opinion Summarization Using Cover Trees. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024	J	`jnl`	Incremental Extractive Opinion Summarization Using Cover Trees. Trans. Mach. Learn. Res. Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi
2024	—	`conf`	Rationale-based Opinion Summarization. NAACL-HLT Haoyuan Li, Snigdha Chaturvedi
2024	J	`jnl`	Rationale-based Opinion Summarization. CoRR Haoyuan Li, Snigdha Chaturvedi
2024	—	`conf`	Returning to the Start: Generating Narratives with Related Endpoints. NAACL (Short Papers) Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
2024	J	`jnl`	Returning to the Start: Generating Narratives with Related Endpoints. CoRR Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
2024	—	`conf`	SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. EMNLP (Findings) Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi
2024	J	`jnl`	SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. CoRR Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi
2024	J	`jnl`	Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning. CoRR Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
2024	A*	`conf`	Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning. NeurIPS Arijit Sehanobish, Kumar Avinava Dubey, Krzysztof Marcin Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
2024	J	`jnl`	Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning. CoRR Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish, Avinava Dubey, Snigdha Chaturvedi
2023	—	`conf`	Affective and Dynamic Beam Search for Story Generation. EMNLP (Findings) Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
2023	J	`jnl`	Affective and Dynamic Beam Search for Story Generation. CoRR Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
2023	—	`conf`	Aspect-aware Unsupervised Extractive Opinion Summarization. ACL (Findings) Haoyuan Li, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2023	—	`conf`	Curricular Next Conversation Prediction Pretraining for Transcript Segmentation. EACL (Findings) Anvesh Rao Vijjini, Hanieh Deilamsalehy, Franck Dernoncourt, Snigdha Chaturvedi
2023	A*	`conf`	Efficient Graph Field Integrators Meet Point Clouds. ICML 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
2023	J	`jnl`	Efficient Graph Field Integrators Meet Point Clouds. CoRR 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
2023	J	`jnl`	Enhancing Group Fairness in Online Settings Using Oblique Decision Forests. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023	—	`conf`	Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers. ACL (Findings) Vikram Kumaran, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester
2023	—	`conf`	PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading. EMNLP (Findings) Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi
2023	A*	`conf`	Robust Concept Erasure via Kernelized Rate-Distortion Maximization. NeurIPS Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023	J	`jnl`	Robust Concept Erasure via Kernelized Rate-Distortion Maximization. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2023	A*	`conf`	Sustaining Fairness via Incremental Learning. AAAI Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2023	—	`conf`	Unsupervised Opinion Summarization Using Approximate Geodesics. EMNLP (Findings) Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2022	—	`conf`	Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. EMNLP (Findings) Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
2022	J	`jnl`	Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
2022	J	`jnl`	Learning Fair Representations via Rate-Distortion Maximization. CoRR Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2022	J	`jnl`	Learning Fair Representations via Rate-Distortion Maximization. Trans. Assoc. Comput. Linguistics Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2022	—	`conf`	NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022	J	`jnl`	NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
2022	—	`conf`	Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. ACL (Findings) Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi
2022	J	`jnl`	Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. CoRR Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi
2022	—	`conf`	Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. NAACL-HLT (Findings) Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022	J	`jnl`	Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. CoRR Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022	A*	`conf`	SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
2022	J	`jnl`	SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
2022	J	`jnl`	Sustaining Fairness via Incremental Learning. CoRR Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2022	A*	`conf`	Towards Inter-character Relationship-driven Story Generation. EMNLP Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
2022	J	`jnl`	Towards Inter-character Relationship-driven Story Generation. CoRR Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
2022	—	`conf`	Unsupervised Extractive Opinion Summarization Using Sparse Coding. ACL (1) Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi
2022	J	`jnl`	Unsupervised Extractive Opinion Summarization Using Sparse Coding. CoRR Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi
2022	J	`jnl`	Unsupervised Opinion Summarization Using Approximate Geodesics. CoRR Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
2021	—	`conf`	"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. EMNLP (Findings) Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021	J	`jnl`	"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. CoRR Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021	—	`conf`	Adversarial Scrubbing of Demographic Information for Text Classification. EMNLP (1) Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi
2021	J	`jnl`	Adversarial Scrubbing of Demographic Information for Text Classification. CoRR Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi
2021	J	`jnl`	Does Commonsense help in detecting Sarcasm? CoRR Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
2021	—	`conf`	How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL/IJCNLP (2) Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava
2021	—	`conf`	Is Everything in Order? A Simple Way to Order Sentences. EMNLP (1) Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
2021	J	`jnl`	Reformulating Sentence Ordering as Conditional Text Generation. CoRR Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi
2021	—	`conf`	Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. EMNLP (Findings) Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
2021	J	`jnl`	Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. CoRR Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
2020	A*	`conf`	Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. ACL Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi
2020	—	`conf`	Cue Me In: Content-Inducing Approaches to Interactive Story Generation. AACL/IJCNLP Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
2020	J	`jnl`	Cue Me In: Content-Inducing Approaches to Interactive Story Generation. CoRR Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi
2020	B	`conf`	Effective Forum Curation via Multi-task Learning. EDM Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi
2020	A*	`conf`	Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. AAAI Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge
2020	—	`conf`	Modeling Protagonist Emotions for Emotion-Aware Storytelling. EMNLP (1) Faeze Brahman, Snigdha Chaturvedi
2020	J	`jnl`	Modeling Protagonist Emotions for Emotion-Aware Storytelling. CoRR Faeze Brahman, Snigdha Chaturvedi
2020	A*	`conf`	Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts. ACL Alex Rinaldi, Jean E. Fox Tree, Snigdha Chaturvedi
2020	—	`ed.`	Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, NUSE@ACL 2020, Online, July 9, 2020 NUSE@ACL 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
2020	A*	`conf`	Weakly-Supervised Opinion Summarization by Leveraging External Information. AAAI Chao Zhao, Snigdha Chaturvedi
2019	A	`conf`	DiAd: Domain Adaptation for Learning at Scale. LAK Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth
2019	J	`jnl`	Discovering Archetypes to Interpret Evolution of Individual Behavior. CoRR Kanika Narang, Austin Chung, Hari Sundaram, Snigdha Chaturvedi
2019	B	`conf`	Named Entity Recognition with Partially Annotated Training Data. CoNLL Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth
2019	J	`jnl`	Named Entity Recognition with Partially Annotated Training Data. CoRR Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth
2019	J	`jnl`	Weakly-Supervised Opinion Summarization by Leveraging External Information. CoRR Chao Zhao, Snigdha Chaturvedi
2018	—	`conf`	Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. NAACL-HLT Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth
2018	—	`conf`	Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. NAACL-HLT (2) Snigdha Chaturvedi, Shashank Srivastava, Dan Roth
2017	B	`conf`	A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. CoNLL Haoruo Peng, Snigdha Chaturvedi, Dan Roth
2017	B	`conf`	Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses. EDM Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat
2017	A*	`conf`	Story Comprehension for Predicting What Happens Next. EMNLP Snigdha Chaturvedi, Haoruo Peng, Dan Roth
2017	A*	`conf`	Unsupervised Learning of Evolving Relationships Between Literary Characters. AAAI Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III
2016	A*	`conf`	Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. AAAI Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
2016	—	`conf`	Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. HLT-NAACL Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III
2016	A*	`conf`	Inferring Interpersonal Relations in Narrative Summaries. AAAI Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell
2016	A*	`conf`	Modeling Evolving Relationships Between Characters in Literary Novels. AAAI Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer
2016	J	`jnl`	Predicting the impact of scientific concepts using full-text features. J. Assoc. Inf. Sci. Technol. 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
2016	—	`—`	Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text. Snigdha Chaturvedi
2015	J	`jnl`	Ask, and shall you receive? Understanding Desire Fulfillment in Natural Language Text. CoRR Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
2015	J	`jnl`	Inferring Interpersonal Relations in Narrative Summaries. CoRR Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell
2015	J	`jnl`	Modeling Dynamic Relationships Between Characters in Literary Novels. CoRR Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer
2014	J	`jnl`	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 Snigdha Chaturvedi, Cody Dunne, Zahra Ashktorab, R. Zachariah, Ben Shneiderman
2014	A*	`conf`	Joint question clustering and relevance prediction for open domain non-factoid question answering. WWW Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan
2014	—	`conf`	Predicting Instructor's Intervention in MOOC forums. ACL (1) Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
2013	A*	`conf`	Automating pattern discovery for rule based data standardization systems. ICDE Snigdha Chaturvedi, K. Hima Prasad, Tanveer A. Faruquie, Bhupesh Chawda, L. Venkata Subramaniam, Raghu Krishnapuram
2013	A*	`conf`	Discriminatively Enhanced Topic Models. ICDM Snigdha Chaturvedi, Hal Daumé III, Taesun Moon
2012	—	`conf`	Automated selection of blocking columns for record linkage. SOLI K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania
2012	—	`conf`	Managing data quality by identifying the noisiest data samples. SOLI K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania
2010	A	`conf`	Estimating accuracy for text classification tasks on large unlabeled data. CIKM Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania