Work

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains

Year: 2024

Type: conference-paper

Abstract: Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2024.emnlp-main.684

Authors: Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes

Institutions: Munich Center for Machine Learning, Ludwig-Maximilians-Universität München, Georgetown University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: HORIZON EUROPE European Research Council

Award: Natural Language Understanding for non-standard languages and dialects

OpenAlex ID: W4404782951

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