Increasing The Coverage Of A Domain Independent Dialogue Lexicon With VERBNET
نویسندگان
چکیده
This paper investigates how to extend coverage of a domain independent lexicon tailored for natural language understanding. We introduce two algorithms for adding lexical entries from VERBNET to the lexicon of the TRIPS spoken dialogue system. We report results on the efficiency of the method, discussing in particular precision versus coverage issues and implications for mapping to other lexical databases.
منابع مشابه
Assigning XTAG Trees to VerbNet
This paper presents the mappings between the syntactic information of our broad-coverage domain-independent verb lexicon, VerbNet, to Xtag trees. This mapping between complementary resources allowed us to increase the syntactic coverage of our verb lexicon by capturing transformations of the basic syntactic description of the verbs present in VerbNet. In addition, having these two resources map...
متن کاملLearning a Lexicon for Broad-Coverage Semantic Parsing
While there has been significant recent work on learning semantic parsers for specific task/ domains, the results don’t transfer from one domain to another domains. We describe a project to learn a broad-coverage semantic lexicon for domain independent semantic parsing. The technique involves several bootstrapping steps starting from a semantic parser based on a modest-sized hand-built semantic...
متن کاملEvaluating the Coverage of VerbNet
This research presents a comparison of the syntactic behavior of verbs represented in an online verb lexicon, VerbNet, and the actual behavior of the verbs in the SemLink corpus. To complete this comparison, each verbal instance of the SemLink corpus is reformulated into a syntactic frame, e.g. Noun Phrase – Verb – Noun Phrase, and compared to syntactic frames listed in VerbNet. Through this ef...
متن کاملSemantic Role Labeling via FrameNet, VerbNet and PropBank
This article describes a robust semantic parser that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and PropBank. The FrameNet corpus contains the examples annotated with semantic roles whereas the VerbNet lexicon provides the knowledge about the syntactic behavior of the verbs. We connect VerbNet and FrameNet by mapping the FrameNet frames to th...
متن کاملAdapting VerbNet to French using existing resources
VerbNet is an English lexical resource for verbs that has proven useful for English NLP due to its high coverage and coherent classification. Such a resource doesn’t exist for other languages, despite some (mostly automatic and unsupervised) attempts. We show how to semi-automatically adapt VerbNet using existing resources designed for different purposes. This study focuses on French and uses t...
متن کامل