Learning for information extraction: from named entity recognition and disambiguation to relation extraction
Information Extraction, the task of locating textual mentions of specific types of entities and their relationships, aims at representing the information contained in text documents in a structured format that is more amenable to applications in data mining, question answering, or the semantic web....
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| Format: | Others |
| Language: | English |
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2008
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| Online Access: | http://hdl.handle.net/2152/3200 |