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Title:
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INFORMATION EXTRACTION ON E-MAIL TEXTS FOR PERSONAL INFORMATION MANAGEMENT DOMAIN |
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Author(s):
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Kyungkoo Min , Hanmin Jung , Jungyun Seo |
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ISBN:
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972-99353-0-0 |
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Editors:
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Pedro Isaías and Nitya Karmakar |
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Year:
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2004 |
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Edition:
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2 |
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Keywords:
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Information Extraction, Lexico-Semantic Pattern, Personal Information Management, E-mail Texts. |
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Type:
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Poster/Demonstration |
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First Page:
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1247 |
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Last Page:
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1248 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Information extraction on free texts is a difficult application due to frequently omitted or colloquial words and phrases with various ambiguities. We introduce a three-leveled information extraction architecture, which consists of instance extraction, filtering, and ranking rules. The extraction rules find instance candidates using named entities and context-independent lexico-semantic patterns. With context-dependent patterns and slot names produced from the previous step, the filtering rules remove improper candidates, and the ranking rules score the remaining instances. Finally, top-ranked instances of each slot are assigned to multi-targets. Experimental result shows 93.6 F-measure on e-mail texts that have three targets (header, address, and schedule) for personal information management domain. |
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