Snigdha Chaturvedi

According to our database, Snigdha Chaturvedi authored at least 59 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study.

Snigdha Chaturvedi, Narendra Kumar, Rajesh Kumar

Soft Comput., March, 2024

Incremental Extractive Opinion Summarization Using Cover Trees.

Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi

CoRR, 2024

2023

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests.

Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

CoRR, 2023

Robust Concept Erasure via Kernelized Rate-Distortion Maximization.

Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Graph Field Integrators Meet Point Clouds.

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

Proceedings of the International Conference on Machine Learning, 2023

PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading.

Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Affective and Dynamic Beam Search for Story Generation.

Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unsupervised Opinion Summarization Using Approximate Geodesics.

Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Dubey, Amr Ahmed, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Curricular Next Conversation Prediction Pretraining for Transcript Segmentation.

Anvesh Rao Vijjini, Hanieh Deilamsalehy, Franck Dernoncourt, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Aspect-aware Unsupervised Extractive Opinion Summarization.

Haoyuan Li, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers.

Vikram Kumaran, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Sustaining Fairness via Incremental Learning.

Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Fair Representations via Rate-Distortion Maximization.

Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

Trans. Assoc. Comput. Linguistics, 2022

Unsupervised Opinion Summarization Using Approximate Geodesics.

Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

CoRR, 2022

Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.

Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization.

Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Inter-character Relationship-driven Story Generation.

Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SPE: Symmetrical Prompt Enhancement for Fact Probing.

Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.

Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Read Top News First: A Document Reordering Approach for Multi-Document News Summarization.

Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Unsupervised Extractive Opinion Summarization Using Sparse Coding.

Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Does Commonsense help in detecting Sarcasm?

Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

CoRR, 2021

Reformulating Sentence Ordering as Conditional Text Generation.

Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi

CoRR, 2021

Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.

Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Adversarial Scrubbing of Demographic Information for Text Classification.

Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Is Everything in Order? A Simple Way to Order Sentences.

Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.

Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?

Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Cue Me In: Content-Inducing Approaches to Interactive Story Generation.

Faeze Brahman, Alexandru Petrusca, Snigdha Chaturvedi

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Modeling Protagonist Emotions for Emotion-Aware Storytelling.

Faeze Brahman, Snigdha Chaturvedi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Effective Forum Curation via Multi-task Learning.

Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation.

Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts.

Alex Rinaldi, Jean E. Fox Tree, Snigdha Chaturvedi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Weakly-Supervised Opinion Summarization by Leveraging External Information.

Chao Zhao, Snigdha Chaturvedi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students.

Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Discovering Archetypes to Interpret Evolution of Individual Behavior.

Kanika Narang, Austin Chung, Hari Sundaram, Snigdha Chaturvedi

CoRR, 2019

DiAd: Domain Adaptation for Learning at Scale.

Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Named Entity Recognition with Partially Annotated Training Data.

Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences.

Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes.

Snigdha Chaturvedi, Shashank Srivastava, Dan Roth

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Story Comprehension for Predicting What Happens Next.

Snigdha Chaturvedi, Haoruo Peng, Dan Roth

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses.

Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat

Proceedings of the 10th International Conference on Educational Data Mining, 2017

A Joint Model for Semantic Sequences: Frames, Entities, Sentiments.

Haoruo Peng, Snigdha Chaturvedi, Dan Roth

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Unsupervised Learning of Evolving Relationships Between Literary Characters.

Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Structured Approaches for Exploring Interpersonal Relationships in Natural Language Text.

Snigdha Chaturvedi

PhD thesis, 2016

Predicting the impact of scientific concepts using full-text features.

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

J. Assoc. Inf. Sci. Technol., 2016

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.

Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the NAACL HLT 2016, 2016

Inferring Interpersonal Relations in Narrative Summaries.

Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Modeling Evolving Relationships Between Characters in Literary Novels.

Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text.

Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Modeling Dynamic Relationships Between Characters in Literary Novels.

Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer

CoRR, 2015

2014

Group-in-a-Box Meta-Layouts for Topological Clusters and Attribute-Based Groups: Space-Efficient Visualizations of Network Communities and Their Ties.

Snigdha Chaturvedi, Cody Dunne, Zahra Ashktorab, R. Zachariah, Ben Shneiderman

Comput. Graph. Forum, 2014

Joint question clustering and relevance prediction for open domain non-factoid question answering.

Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan

Proceedings of the 23rd International World Wide Web Conference, 2014

Predicting Instructor's Intervention in MOOC forums.

Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Discriminatively Enhanced Topic Models.

Snigdha Chaturvedi, Hal Daumé III, Taesun Moon

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Automating pattern discovery for rule based data standardization systems.

Snigdha Chaturvedi, K. Hima Prasad, Tanveer A. Faruquie, Bhupesh Chawda, L. Venkata Subramaniam, Raghu Krishnapuram

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Managing data quality by identifying the noisiest data samples.

K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Automated selection of blocking columns for record linkage.

K. Hima Prasad, Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

2010

Estimating accuracy for text classification tasks on large unlabeled data.

Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010