Part-of-speech histograms for genre classification of text. - Sergey Feldman; Marius A. Marin; Mari Ostendorf; Maya R. Gupta (ICASSP, 2009)

Filtering web text to match target genres. - Marius A. Marin; Sergey Feldman; Mari Ostendorf; Maya R. Gupta (ICASSP, 2009)

Classifying Factored Genres with Part-of-Speech Histograms. - Sergey Feldman; Marius A. Marin; Julie Medero; Mari Ostendorf (HLT-NAACL (Short Papers), 2009)

Completely Lazy Learning. - Eric K. Garcia; Sergey Feldman; Maya R. Gupta; Santosh Srivastava (IEEE Trans. Knowl. Data Eng., 2010)

Multi-task Regularization of Generative Similarity Models. - Luca Cazzanti; Sergey Feldman; Maya R. Gupta; Michael Gabbay 002 (SIMBAD, 2011)

Multi-Task Averaging. - Sergey Feldman; Maya R. Gupta; Bela A. Frigyik (NIPS, 2012)

Revisiting Stein's paradox: multi-task averaging. - Sergey Feldman; Maya R. Gupta; Bela A. Frigyik (J. Mach. Learn. Res., 2014)

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; et al. (NAACL-HLT (3), 2018)

Content-Based Citation Recommendation. - Chandra Bhagavatula; Sergey Feldman; Russell Power; Waleed Ammar (NAACL-HLT, 2018)

Citation Count Analysis for Papers with Preprints. - Sergey Feldman; Kyle Lo; Waleed Ammar (CoRR, 2018)

SPECTER: Document-level Representation Learning using Citation-informed Transformers. - Arman Cohan; Sergey Feldman; Iz Beltagy; Doug Downey; Daniel S. Weld (ACL, 2020)

S2AND: A Benchmark and Evaluation System for Author Name Disambiguation. - Shivashankar Subramanian; Daniel King; Doug Downey; Sergey Feldman (JCDL, 2021)

Simplified Data Wrangling with ir_datasets. - Sean MacAvaney; Andrew Yates; Sergey Feldman; Doug Downey; Arman Cohan; Nazli Goharian (SIGIR, 2021)

Overview of the TREC 2020 Fair Ranking Track. - Asia J. Biega; Fernando Diaz 001; Michael D. Ekstrand; Sergey Feldman; Sebastian Kohlmeier (CoRR, 2021)

S2AMP: a high-coverage dataset of scholarly mentorship inferred from publications. - Shaurya Rohatgi; Doug Downey; Daniel King; Sergey Feldman (JCDL, 2022)

Literature-Augmented Clinical Outcome Prediction. - Aakanksha Naik; Sravanthi Parasa; Sergey Feldman; Lucy Lu Wang; Tom Hope (NAACL-HLT (Findings), 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; et al. (AI Mag., 2022)

ABNIRML: Analyzing the Behavior of Neural IR Models. - Sean MacAvaney; Sergey Feldman; Nazli Goharian; Doug Downey; Arman Cohan (Trans. Assoc. Comput. Linguistics, 2022)

S2abEL: A Dataset for Entity Linking from Scientific Tables. - Yuze Lou; Bailey Kuehl; Erin Bransom; Sergey Feldman; Aakanksha Naik; Doug Downey (EMNLP, 2023)

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. - Amanpreet Singh; Mike D'Arcy; Arman Cohan; Doug Downey; Sergey Feldman (EMNLP, 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; et al. (CoRR, 2023)

RCT Rejection Sampling for Causal Estimation Evaluation. - Katherine A. Keith; Sergey Feldman; David Jurgens; Jonathan Bragg; Rohit Bhattacharya (Trans. Mach. Learn. Res., 2023)

TOPICAL: TOPIC Pages AutomagicaLly. - John M. Giorgi; Amanpreet Singh; Doug Downey; Sergey Feldman; Lucy Lu Wang (NAACL (Demonstrations), 2024)

On-the-fly Definition Augmentation of LLMs for Biomedical NER. - Monica Munnangi; Sergey Feldman; Byron C. Wallace; Silvio Amir; Tom Hope; Aakanksha Naik (NAACL-HLT, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

Ai2 Scholar QA: Organized Literature Synthesis with Attribution. - Amanpreet Singh; Joseph Chee Chang; Chloe Anastasiades; Dany Haddad; Aakanksha Naik; Amber Tanaka; Angele Zamarron; Cecile Nguyen; Jena D. Hwang; Jason Dunkleberger; Matt Latzke; Smita Rao; et al. (CoRR, 2025)