Challenges from Information Extraction to Information Fusion

Information Extraction (IE) technology is facing new challenges of dealing with large-scale heterogeneous data sources from different documents, languages and modalities. Information fusion, a new emerging area derived from IE, aims to address these challenges. We specify the requirements and possible solutions to perform information fusion. The issues include redundancy removal, contradiction resolution and uncertainty reduction. We believe this is a critical step to advance IE to a higher level of performance and portability.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Heng Ji
• Keywords: COLING 2010, Computational Linguistics, Information Fusion, Large-scale Heterogeneous Data, Redundancy Removal