Comparing Semantic Models for Evaluating Automatic Document Summarization

Comparing Semantic Models for Evaluating Automatic Document Summarization

Keywords: contrastive opinion summarization, summarization evaluation, ROUGE, semantic models, tfidf, lsa, lda, word2vec, doc2vec, document similarity

Year: 2015

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Authors of this publication:


Michal Campr


E-mail: mcampr@kiv.zcu.cz
WWW: http://home.zcu.cz/~mcampr/

Michal graduated from the University of West Bohemia in 2011, specialized in software engineering. He is interested in text summarization.

Karel Je┼żek


Phone:  +420 377632475, 377632400
E-mail: jezek_ka@kiv.zcu.cz
WWW: http://www-kiv.zcu.cz/~jezek_ka/

Karel is a group coordinator and a supervisor of PhD students working at research projects of this Group.