Information Extraction for User’s Utterance Processing on Ubiquitous Robot Companion
Information Extraction originally tries to statically acquire information from various formatted documents in accordance with user-defined schema. Further, it can expand its application areas into the processing of purposeful user’s utterance in natural language including various linguistic phenomena such as syntactic transformation and colloquial expression with frequently omitted words/phrases. We basically adopt verified lexico-semantic framework to obtain meaningful information from user’s utterance and divide extraction phase into the two: the first is to extract and revise arguments and the other is to extract a predicate, which is an utterance meaning type of the input sentence.
Unable to display preview. Download preview PDF.
- 1.Jung, H., Yi, E., Kim, D., Lee, G.: Information Extraction with Automatic Knowledge Expansion. Information Processing and Management 41(2) (2005)Google Scholar
- 2.Jung, H., Min, K., Kim, W., Sung, W., Park, D.: Query Analysis Using Context-Based Information Extraction on Navigation Domain. In: Proceedings of the 30th Annual Conference of the IEEE Industrial Electronics Society (2004)Google Scholar
- 3.Min, K., Jung, H., Seo, J.: Context-based Information Extraction on E-mail Texts. In: Proceedings of Asia Information Retrieval Symposium (2004)Google Scholar
- 4.Soderland, S.: Learning Information Extraction Rules for Semi-structured and Free Text. Machine Learning 34 (1999)Google Scholar