Ciência-IUL
Publicações
Descrição Detalhada da Publicação
Título Revista
Knowledge and Information Systems
Ano (publicação definitiva)
2017
Língua
Inglês
País
Reino Unido
Mais Informação
Web of Science®
Scopus
Google Scholar
Abstract/Resumo
Event detection is a fundamental information extraction task, which has been explored largely in the context of question answering, topic detection and tracking, knowledge base population, news recommendation, and automatic summarization. In this article, we explore an event detection framework to improve a key phrase-guided centrality-based summarization model. Event detection is based on the fuzzy fingerprint method, which is able to detect all types of events in the ACE 2005 Multilingual Corpus. Our base summarization approach is a two-stage method that starts by extracting a collection of key phrases that will be used to help the centrality-as-relevance retrieval model. We explored three different ways to integrate event information, achieving state-of-the-art results in text and speech corpora: (1) filtering of nonevents, (2) event fingerprints as features, and (3) combination of filtering of nonevents and event fingerprints as features.
Agradecimentos/Acknowledgements
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Palavras-chave
Event detection,Extractive summarization,Passage retrieval,Automatic key phrase extraction,Centrality
Classificação Fields of Science and Technology
- Ciências da Computação e da Informação - Ciências Naturais
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
---|---|
UID/CEC/50021/2013 | Fundação para a Ciência e a Tecnologia |
SFRH/BD/33769/2009 | Fundação para a Ciência e a Tecnologia |