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WePS2 Attribute Extraction Task Sekine and Artiles WWW 2009 Workshop
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What are we going to do today? Web people search attribute extraction task overview Brief summary of two teams’ methods
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Task Overview
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Extract 18 attributes from a webpage
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Corpus Training 17 person names Test 30 person names 2,883 web pages 2,421 have at least 1 attribute
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Evaluation
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CASIANED National Lab of Pattern Recognition (China) Precision: 8.5 Recall: 19
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PolyUHK The Hong Kong Polytechnic University 1. Webpage type classification 2. Fragment style identification 3. NER and RDR (relation detection and recognition) Precision: 30.4 Recall: 7.6
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PolyUHK The Hong Kong Polytechnic University 1. Webpage type classification 2. Fragment style identification 3. NER and RDR (relation detection and recognition) Precision: 30.4 Recall: 7.6
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PolyUHK The Hong Kong Polytechnic University
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1. Webpage type classification 2. Fragment style identification 3. NER and RDR (relation detection and recognition) Precision: 30.4 Recall: 7.6
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PolyUHK The Hong Kong Polytechnic University
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1. Webpage type classification 2. Fragment style identification 3. NER and RDR (relation detection and recognition) Precision: 30.4 Recall: 7.6
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