Exploring events and distributed representations of text in multi-document summarization
In this article, we explore an event detection framework to improve multi-document summarization. Our approach is based on a two-stage single-document method that extracts a collection of key phrases, which are then used in a centrality-as-relevance passage retrieval model. We explore how to adapt t...
| Autor principal: | |
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| Outros Autores: | , , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/11022 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/11022 |