Using HFST - Helsinki Finite-State Technology for Recognizing Semantic Frames.
SFCM(2015)
摘要
To recognize semantic frames in languages with a rich morphology, we need computational morphology. In this paper, we look at one particular framework, HFST–Helsinki Finite-State Technology, and how to use it for recognizing semantic frames in context. HFST enables tokenization, morphological analysis, tagging, and frame annotation in one single framework.
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关键词
Noun Phrase, Conditional Random Field, Training Corpus, Frame Identification, British National Corpus
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