R. Yangarber. Scenario Customization for Information Extraction. PhD thesis, New York University, 2000.  Home/Search Document Details and Download
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Automatic Multi-Lingual Information Extraction - Peng (2001) (Correct)
.... the top level IE task: nd instances of events or facts of speci ed types; events are complex relations with multiple arguments, such as rocket launch, relating the particular rocket, with the date time location of launch, with the launch entity, with the outcome of the launch success or failure [98]. In this thesis, we are mainly looking at the name entity recognition and recognition of links between entities in text, which are the rst two tasks. 2 2.2 Di erence among IE, IR, QA, TM We should distinguish IE from IR (information retrieval) and TM (text mining) IR returns all interested ....
....with MUC since MUC 6. But unfortunately, the MUCs stopped after 1998 (MUC 7) because of the funding problem. The conferences on IR (TRECs) continues, which mainly focus on information retrieval and recently focus on question answering. Learning from text has created several Ph.D. thesises [8, 35, 50, 58, 92, 98]. In the following two subsections, we will brie y review the previous research on English IE and Multi lingual IE, mainly on NE recognition tasks. 4.1 English IE In [67, 68] we have made a comprehensive survey for the information extraction models. The systems can be classi ed into dictionary ....
Yangarber, R. Scenario Customization for Information Extraction. Ph.D. thesis, New York University, 2000.
Information Extraction for Enhanced Access to Disease.. - Ralph Grishman Silja (2002) (1 citation) Self-citation (Yangarber) (Correct)
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Yangarber R. Scenario Customization for Information Extraction. Doctoral Dissertation, Dept. of Computer Science, New York University; 2000.
Using Information Fusion for Open Domain Question Answering - Dalmas, Webber (2005) (Correct)
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R. Yangarber. Scenario Customization for Information Extraction. PhD thesis, New York University, 2000.
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