Kim, Su Nam and Timothy Baldwin (to appear) How to Pick out Token Instances of English Verb-Particle Constructions, Journal of Language Resources and Evaluation
نویسندگان
چکیده
We propose a method for automatically identifying individual instances of English verb-particle constructions (VPCs) in raw text. Our method employs the RASP parser and analysis of the sentential context of each VPC candidate to differentiate VPCs from simple combinations of a verb and prepositional phrase. We show that our proposed method has an F-score of 0.974 at VPC identification over the Brown Corpus and Wall Street Journal.
منابع مشابه
Automatic Identification Of English Verb Particle Constructions Using Linguistic Features
This paper presents a method for identifying token instances of verb particle constructions (VPCs) automatically, based on the output of the RASP parser. The proposed method pools together instances of VPCs and verb-PPs from the parser output and uses the sentential context of each such instance to differentiate VPCs from verb-PPs. We show our technique to perform at an F-score of 97.4% at iden...
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