Work

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering

Year: 2025

Type: conference-paper

Abstract: Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Lee Boyd-Graber, Philip Resnik. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.772

Authors: Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Lee Boyd-Graber, Philip Resnik

Institutions: ETH Zurich, Universidad Carlos III de Madrid, University of Maryland, College Park

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, European Regional Development Fund, Agencia Estatal de Investigación

Awards: SCH: INT: Collaborative Research: Using Multi-Stage Learning to Prioritize Mental Health, G2262748287, G3345544201, G3480869486, G425668148, G451917667, G5967599077, G7084143925

OpenAlex ID: W4412945171

FWCI:

Cites:

Cited by:

Related to: 10