FactBank: a corpus annotated with event factuality

作者: Roser Saurí , James Pustejovsky

DOI: 10.1007/S10579-009-9089-9

关键词:

摘要: Recent work in computational linguistics points out the need for systems to be sensitive veracity or factuality of events as mentioned text; that is, recognize whether are presented corresponding actual situations world, have not happened, uncertain interpretation. Event is an important aspect representation discourse, but annotation such information poses a representational challenge, largely because expressed through interaction numerous linguistic markers and constructions. Many these already encoded existing corpora, albeit somewhat fragmented way. In this article, we present FactBank, corpus annotated with concerning events. Its has been carried from descriptive framework grounded on both theoretical findings data analysis. FactBank built top TimeBank, adding it additional level semantic information.

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