Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion

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.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi, Thomas Huang
• Keywords: Coherent Common Representation, COLING 2010, Computational Linguistics, Information Fusion, Information Fusion Approach