On-topic Cover Stories from News Archives

Autor:	Christian Schulte, Bilyana Taneva, Gerhard Weikum
Rok vydání:	2015
Předmět:	World Wide Web Set (abstract data type) Background information Information retrieval Cover (telecommunications) Event (computing) Computer science Cosine similarity Cover story Newspaper
Zdroj:	Lecture Notes in Computer Science ISBN: 9783319163536 ECIR
DOI:	10.1007/978-3-319-16354-3_4
Popis:	While Web or newspaper archives store large amounts of articles, they also contain a lot of near-duplicate information. Examples include articles about the same event published by multiple news agencies or articles about evolving events that lead to copies of paragraphs to provide background information. To support journalists, who attempt to read all information on a given topic at once, we propose an approach that, given a topic and a text collection, extracts a set of articles with broad coverage of the topic and minimum amount of duplicates.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::28315646553e9ff2b623d61b5f0a8327 https://doi.org/10.1007/978-3-319-16354-3_4 Zobrazit plný text záznamu