Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction
نویسندگان
چکیده
The paper describes a method of relation extraction , which is based on parsing the input text using a combination of a generic HPSG-based grammar and a highly focused domain-and relation-specific lexicon. We also show a method of unsupervised acquisition of such a lexicon from a large unla-beled corpus. Together, the methods introduce a novel approach to the " Open IE " task, which is superior in accuracy and in quality of relation identification to the existing approaches.
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تاریخ انتشار 2011