Workshop: Application of LCC's GROUNDHOG System for RTE-4
نویسندگان
چکیده
This paper provides a brief description of the system for recognizing textual entailment (RTE) Language Computer Corporation (LCC) used in the 2008 TAC RTE-4 Evaluation. Our RTE-4 work follows our previous work (Hickl and Bensley, 2007; Bensley and Hickl, 2008; Hickl, 2008) in using a pipeline of lightweight, largely statistical systems for commitment extraction, lexical alignment, and entailment classification in order to estimate the likelihood that a t includes the linguistic content sufficient to textually entail a h. Our system continues to provide promising results: on the binary entailment task, our system correctly classified more than 74% of t-h pairs correctly.
منابع مشابه
Recognizing Textual Entailment with LCC’s GROUNDHOG System
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