Paper: Challenges from Information Extraction to Information Fusion

ACL ID C10-2058
Title Challenges from Information Extraction to Information Fusion
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

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