Improving Semi-supervised Acquisition of Semantic Knowledge from Query Logs
نویسندگان
چکیده
منابع مشابه
Minimally Supervised Learning of Semantic Knowledge from Query Logs
We propose a method for learning semantic categories of words with minimal supervision from web search query logs. Our method is based on the Espresso algorithm (Pantel and Pennacchiotti, 2006) for extracting binary lexical relations, but makes important modifications to handle query log data for the task of acquiring semantic categories. We present experimental results comparing our method wit...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2008
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.23.217