Sergey Feldman

According to our database, Sergey Feldman authored at least 22 papers between 2009 and 2023.

Collaborative distances:

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

2023

RCT Rejection Sampling for Causal Estimation Evaluation.

Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya

CoRR, 2023

The Semantic Scholar Open Data Platform.

Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld

CoRR, 2023

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.

Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman

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

S2abEL: A Dataset for Entity Linking from Scientific Tables.

Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey

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

2022

ABNIRML: Analyzing the Behavior of Neural IR Models.

Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan

Trans. Assoc. Comput. Linguistics, 2022

Infrastructure for Rapid Open Knowledge Network Development.

Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou

AI Mag., 2022

Literature-Augmented Clinical Outcome Prediction.

Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope

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

S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications.

Shaurya Rohatgi, Doug Downey, Daniel King, Sergey Feldman

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

2021

Overview of the TREC 2020 Fair Ranking Track.

Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier

CoRR, 2021

Simplified Data Wrangling with ir_datasets.

Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

S2AND: A Benchmark and Evaluation System for Author Name Disambiguation.

Shivashankar Subramanian, Daniel King, Doug Downey, Sergey Feldman

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

2020

SPECTER: Document-level Representation Learning using Citation-informed Transformers.

Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, Daniel S. Weld

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

2018

Citation Count Analysis for Papers with Preprints.

Sergey Feldman, Kyle Lo, Waleed Ammar

CoRR, 2018

Content-Based Citation Recommendation.

Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar

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

Construction of the Literature Graph in Semantic Scholar.

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni

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

2014

Revisiting Stein's paradox: multi-task averaging.

Sergey Feldman, Maya R. Gupta, Bela A. Frigyik

J. Mach. Learn. Res., 2014

2012

Multi-Task Averaging.

Sergey Feldman, Maya R. Gupta, Bela A. Frigyik

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Multi-task Regularization of Generative Similarity Models.

Luca Cazzanti, Sergey Feldman, Maya R. Gupta, Michael Gabbay

Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

2010

Completely Lazy Learning.

Eric K. Garcia, Sergey Feldman, Maya R. Gupta, Santosh Srivastava

IEEE Trans. Knowl. Data Eng., 2010

2009

Classifying Factored Genres with Part-of-Speech Histograms.

Sergey Feldman, Marius A. Marin, Julie Medero, Mari Ostendorf

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Filtering web text to match target genres.

Marius A. Marin, Sergey Feldman, Mari Ostendorf, Maya R. Gupta

Proceedings of the IEEE International Conference on Acoustics, 2009

Part-of-speech histograms for genre classification of text.

Sergey Feldman, Marius A. Marin, Mari Ostendorf, Maya R. Gupta

Proceedings of the IEEE International Conference on Acoustics, 2009