Data-driven deep-syntactic dependency parsing †
作者： MIGUEL BALLESTEROS , BERND BOHNET , SIMON MILLE , LEO WANNER
DOI: 10.1017/S1351324915000285
关键词:
摘要: ‘Deep-syntactic’ dependency structures that capture the argumentative, attributive and coordinative relations between full words of a sentence have great potential for number NLP-applications. The abstraction degree these is in output syntactic parser (connected trees defined over all language-specific grammatical functions) semantic (forests individual lexemes or phrasal chunks abstract role labels which frame predicative elements drop dependencies). We propose provides deep-syntactic structures. has been tested on Spanish, English Chinese.
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