Exploring content selection strategies for Multilingual Multi-Document Summarization based on the Universal Network Language (UNL)

Multilingual Multi-Document Summarization aims at ranking the sentences of a cluster with (at least) 2 news texts (1 in the user’s language and 1 in a foreign language), and select the top-ranked sentences for a summary in the user’s language. We explored three concept-based statistics and one super...

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Bibliographic Details
Main Authors: Matheus Rigobelo Chaud, Ariani Di Felippo
Format: Article
Language:English
Published: Universidade Federal de Minas Gerais 2017-11-01
Series:Revista de Estudos da Linguagem
Subjects:
Online Access:http://periodicos.letras.ufmg.br/index.php/relin/article/view/10857