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On Strategies of Human Multi-Document Summarization
Brazilian Symposium in Information and Human Language Technology
In this paper, using a corpus with manual alignments of humanwritten summaries and their source news, we show that such summaries consist of information that has specific linguistic features, revealing human content selection strategies, and that these strategies produce indicative results that are competitive with a state of the art system for Portuguese. Resumo. Neste artigo, a partir de um corpus com alinhamentos manuais entre sumários e suas respectivas notícias-fonte, evidencia-se que taisdblp:conf/stil/CamargoFP15 fatcat:xfgz4gb3cvdh7i566vwwzvakva