Correcting prepositional phrase attachments using multimodal corpora

Abstract

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.

Tasks

Reproductions