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

AuthID
 P-00S-3R8
3
Author(s)
Mota, P
·
Eskenazi, M
·
Document Type
Proceedings Paper
Year published
2019
Published
in CoNLL 2019 - 23rd Conference on Computational Natural Language Learning, Proceedings of the Conference
Pages: 582-592
Conference
23Rd Conference on Computational Natural Language Learning, Conll 2019, Date: 3 November 2019 through 4 November 2019, Sponsors: Facebook;Google
Indexing
Scopus®
Publication Identifiers
Scopus: 2-s2.0-85084331425
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