Enhancing multi-lingual information extraction via cross-media inference and fusion

Authors:
Adam Lee;Marissa Passantino;Heng Ji;Guojun Qi;Thomas Huang
Affiliations:
City University of New York;City University of New York;City University of New York;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign
Venue:
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Year:
2010

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Abstract

We describe a new information fusion approach to integrate facts extracted from cross-media objects (videos and texts) into a coherent common representation including multi-level knowledge (concepts, relations and events). Beyond standard information fusion, we exploited video extraction results and significantly improved text Information Extraction. We further extended our methods to multi-lingual environment (English, Arabic and Chinese) by presenting a case study on cross-lingual comparable corpora acquisition based on video comparison.