Correcting prepositional phrase attachments using multimodal corpora

WS 2017 Sebastien DelecrazAlexis NasrFrederic BechetBenoit Favre

PP-attachments are an important source of errors in parsing natural language. We propose in this article to use data coming from a multimodal corpus, combining textual, visual and conceptual information, as well as a correction strategy, to propose alternative attachments in the output of a parser...

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