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BEAMSEG: A Joint Model for Multi-Document Segmentation and Topic Identification

AuthID
P-00S-3R8

Author(s)

Mota, P

Eskenazi, M

Coheur, L

Tipo de Documento

Proceedings Paper

Year published

2019

Publicado

in CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference

Páginas: 582-592

Conference

23Rd Conference on Computational Natural Language Learning, Conll 2019, Date: 3 November 2019 through 4 November 2019, Patrocinadores: Facebook;Google

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Publication Identifiers

DOI: 10.18653/v1/k19-1054

SCOPUS: 2-s2.0-85084331425

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BEAMSEG: A Joint Model for Multi-Document Segmentation and Topic Identification

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