Kapil Thadani

According to our database, Kapil Thadani authored at least 28 papers between 2007 and 2023.

Collaborative distances:

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

2023

Unifying Margin-Based Softmax Losses in Face Recognition.

Yang Zhang, Simao Herdade, Kapil Thadani, Eric Dodds, Jack Culpepper, Yueh-Ning Ku

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Multilingual Taxonomic Web Page Classification for Contextual Targeting at Yahoo.

Eric Ye, Xiao Bai, Neil O'Hare, Eliyar Asgarieh, Kapil Thadani, Francisco Perez-Sorrosal, Sujyothi Adiga

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Powering COVID-19 Community Q&A with Curated Side Information.

Manisha Verma, Kapil Thadani, Shaunak Mishra

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

Phans, Stans and Cishets: Self-Presentation Effects on Content Propagation in Tumblr.

Michael Miller Yoder, Qinlan Shen, Yansen Wang, Alex Coda, Yunseok Jang, Yale Song, Kapil Thadani, Carolyn P. Rosé

Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Effective Few-Shot Classification with Transfer Learning.

Aakriti Gupta, Kapil Thadani, Neil O'Hare

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement.

Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Unsupervised Neologism Normalization Using Embedding Space Mapping.

Nasser Zalmout, Kapil Thadani, Aasish Pappu

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2017

Lightweight Multilingual Entity Extraction and Linking.

Aasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, Kapil Thadani

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

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

The Role of Discourse Units in Near-Extractive Summarization.

Junyi Jessy Li, Kapil Thadani, Amanda Stent

Proceedings of the SIGDIAL 2016 Conference, 2016

Extractive Summarization under Strict Length Constraints.

Yashar Mehdad, Amanda Stent, Kapil Thadani, Dragomir R. Radev, Youssef Billawala, Karolina Buchner

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

2015

Multi-Structured Models for Transforming and Aligning Text.

Kapil Thadani

PhD thesis, 2015

2014

Approximation Strategies for Multi-Structure Sentence Compression.

Kapil Thadani

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

2013

Supervised Sentence Fusion with Single-Stage Inference.

Kapil Thadani, Kathleen R. McKeown

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Cluster-based Web Summarization.

Yves Petinot, Kathleen R. McKeown, Kapil Thadani

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Sentence Compression with Joint Structural Inference.

Kapil Thadani, Kathleen R. McKeown

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

2012

On-the-fly Topic Adaptation for YouTube Video Transcription.

Kapil Thadani, Fadi Biadsy, Daniel M. Bikel

Proceedings of the INTERSPEECH 2012, 2012

A Joint Phrasal and Dependency Model for Paraphrase Alignment.

Kapil Thadani, Scott Martin, Michael White

Proceedings of the COLING 2012, 2012

2011

Identifying Event Descriptions using Co-training with Online News Summaries.

William Yang Wang, Kapil Thadani, Kathleen R. McKeown

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Towards Strict Sentence Intersection: Decoding and Evaluation Strategies.

Kapil Thadani, Kathleen R. McKeown

Proceedings of the Workshop on Monolingual Text-To-Text Generation@ACL, 2011

Optimal and Syntactically-Informed Decoding for Monolingual Phrase-Based Alignment.

Kapil Thadani, Kathleen R. McKeown

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

A Hierarchical Model of Web Summaries.

Yves Petinot, Kathleen R. McKeown, Kapil Thadani

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

Time-Efficient Creation of an Accurate Sentence Fusion Corpus.

Kathleen R. McKeown, Sara Rosenthal, Kapil Thadani, Coleman Moore

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Corpus Creation for New Genres: A Crowdsourced Approach to PP Attachment.

Mukund Jha, Jacob Andreas, Kapil Thadani, Sara Rosenthal, Kathleen R. McKeown

Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010

Towards Semi-Automated Annotation for Prepositional Phrase Attachment.

Sara Rosenthal, William Lipovsky, Kathleen R. McKeown, Kapil Thadani, Jacob Andreas

Proceedings of the International Conference on Language Resources and Evaluation, 2010

2008

A Framework for Identifying Textual Redundancy.

Kapil Thadani, Kathleen R. McKeown

Proceedings of the COLING 2008, 2008

2007

Density Estimation under Independent Similarly Distributed Sampling Assumptions.

Tony Jebara, Yingbo Song, Kapil Thadani

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Spectral Clustering and Embedding with Hidden Markov Models.

Tony Jebara, Yingbo Song, Kapil Thadani

Proceedings of the Machine Learning: ECML 2007, 2007