Abstract
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.
| Original language | English (US) |
|---|---|
| Pages | 507-515 |
| Number of pages | 9 |
| State | Published - 2010 |
| Externally published | Yes |
| Event | 23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China Duration: Aug 23 2010 → Aug 27 2010 |
Other
| Other | 23rd International Conference on Computational Linguistics, Coling 2010 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 8/23/10 → 8/27/10 |
ASJC Scopus subject areas
- Language and Linguistics
- Computational Theory and Mathematics
- Linguistics and Language