Work

DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions

Year: 2022

Type: conference-paper

Abstract: Neha Kennard, Tim O’Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2022.naacl-main.89

Authors: Neha Kennard, Tim O’Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum

Institution: University of Massachusetts Amherst

Language: English

Topic: Discourse Analysis in Language Studies

Subfield: Linguistics and Language

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Funders: National Science Foundation, University of Southern California, Chan Zuckerberg Initiative, Defense Advanced Research Projects Agency, Advanced Research Projects Agency, Office of Naval Research

Awards: RI: Medium: Tree-Structured Self-Supervised Modeling for Natural Language, RI: Medium: Extreme Clustering, G4262751095, G4713059963, DMREF: Collaborative Research: The Synthesis Genome: Data Mining for Synthesis of New Materials

OpenAlex ID: W4287854541

FWCI: 25.35

Cites: 20

Cited by: 22

Related to: 10