Kevin Small

According to our database, Kevin Small authored at least 42 papers between 2001 and 2024.

Collaborative distances:

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

2024

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization.

Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA.

Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation.

Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unified Embeddings for Multimodal Retrieval via Frozen LLMs.

Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Background Summarization of Event Timelines.

Adithya Pratapa, Kevin Small, Markus Dreyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction.

Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PLAtE: A Large-scale Dataset for List Page Web Extraction.

Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

SumREN: Summarizing Reported Speech about Events in News.

Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji

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

2022

PLAtE: A Large-scale Dataset for List Page Web Extraction.

Aidan San, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Yangfeng Ji, Sandeep Atluri, Kevin Small, Heba Elfardy

CoRR, 2022

Answer Consolidation: Formulation and Benchmarking.

Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification.

Ivano Lauriola, Kevin Small, Alessandro Moschitti

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge.

Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji

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

A Zero-Shot Claim Detection Framework Using Question Answering.

Revanth Gangi Reddy, Sai Chetan Chinthakindi, Yi R. Fung, Kevin Small, Heng Ji

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning.

Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri

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

Summary-Oriented Question Generation for Informational Queries.

Xusen Yin, Li Zhou, Kevin Small, Jonathan May

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

Inverse Reinforcement Learning with Natural Language Goals.

Li Zhou, Kevin Small

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Question Generation for Supporting Informational Query Intents.

Xusen Yin, Jonathan May, Li Zhou, Kevin Small

CoRR, 2020

Fluent Response Generation for Conversational Question Answering.

Ashutosh Baheti, Alan Ritter, Kevin Small

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

2019

Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering.

Li Zhou, Kevin Small

CoRR, 2019

2018

Active Learning in Recommendation Systems with Multi-level User Preferences.

Yuheng Bu, Kevin Small

CoRR, 2018

2017

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient.

Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan

CoRR, 2017

2012

Challenges and Opportunities in Applied Machine Learning.

Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace

AI Mag., 2012

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos

Proceedings of the ACM International Health Informatics Symposium, 2012

2011

Who Should Label What? Instance Allocation in Multiple Expert Active Learning.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

The Constrained Weight Space SVM: Learning with Ranked Features.

Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the 28th International Conference on Machine Learning, 2011

Class Imbalance, Redux.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Margin-based active learning for structured predictions.

Kevin Small, Dan Roth

Int. J. Mach. Learn. Cybern., 2010

Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.

Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Active learning for biomedical citation screening.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Modeling annotation time to reduce workload in comparative effectiveness reviews.

Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos

Proceedings of the ACM International Health Informatics Symposium, 2010

2009

Interactive Learning Protocols for Natural Language Applications

Kevin Small

PhD thesis, 2009

Sequential Learning of Classifiers for Structured Prediction Problems.

Dan Roth, Kevin Small, Ivan Titov

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Relation Alignment for Textual Entailment Recognition.

Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth

Proceedings of the Second Text Analysis Conference, 2009

Unsupervised Rank Aggregation with Domain-Specific Expertise.

Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov

Proceedings of the IJCAI 2009, 2009

Interactive Feature Space Construction using Semantic Information.

Dan Roth, Kevin Small

Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

2008

Unsupervised rank aggregation with distance-based models.

Alexandre Klementiev, Dan Roth, Kevin Small

Proceedings of the Machine Learning, 2008

Active Learning for Pipeline Models.

Dan Roth, Kevin Small

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

All links are not the same: evaluating word alignments for statistical machine translation.

Paul C. Davis, Zhuli Xie, Kevin Small

Proceedings of Machine Translation Summit XI: Papers, 2007

An Unsupervised Learning Algorithm for Rank Aggregation.

Alexandre Klementiev, Dan Roth, Kevin Small

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Margin-Based Active Learning for Structured Output Spaces.

Dan Roth, Kevin Small

Proceedings of the Machine Learning: ECML 2006, 2006

2002

Question-Answering via Enhanced Understanding of Questions.

Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih

Proceedings of The Eleventh Text REtrieval Conference, 2002

2001

Technological Advances for Conducting a Virtual Ensemble.

Guy E. Garnett, Mangesh Jonnalagadda, Ivan Elezovic, Timothy Johnson, Kevin Small

Proceedings of the 2001 International Computer Music Conference, 2001