文章基本信息

标题：Wide-Coverage NLP with Linguistically Expressive Grammars
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作者：Julia Hockenmaier ; Yusuke Miyao ; Josef van Genabith 等
期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2010
卷号：2010
出版社：ACL Anthology
摘要：In recent years, there has been a lot of research on wide-coverage statistical natural language processing with linguistically expressive grammars such as Combinatory Categorial Grammars (CCG), Head-driven Phrase-Structure Grammars (HPSG), Lexical-Functional Grammars (LFG) and Tree-Adjoining Grammars (TAG). But although many young researchers in natural language processing are very well trained in machine learning and statistical methods, they often lack the necessary background to understand the linguistic motivation behind these formalisms. Furthermore, in many linguistics departments, syntax is still taught from a purely Chomskian perspective. Additionally, research on these formalisms often takes place within tightly-knit, formalismspecific subcommunities. It is therefore often difficult for outsiders as well as experts to grasp the commonalities of and differences between these formalisms.