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

ACL ID C10-2072
Title Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

We describe a new information fusion approach to integrate facts extracted from cross-media objects (videos and texts) into a coherent common represen- tation including multi-level knowledge (concepts, relations and events). Beyond standard information fusion, we ex- ploited video extraction results and sig- nificantly improved text Information Ex- traction. We further extended our meth- ods to multi-lingual environment (Eng- lish, Arabic and Chinese) by presenting a case study on cross-lingual comparable corpora acquisition based on video com- parison.