Determining Factors of Semantic Relations between Verb + Postpositive Structures
نویسندگان
چکیده
منابع مشابه
Leveraging Verb-Argument Structures to Infer Semantic Relations
This paper presents a methodology to infer implicit semantic relations from verbargument structures. An annotation effort shows implicit relations boost the amount of meaning explicitly encoded for verbs. Experimental results with automatically obtained parse trees and verb-argument structures demonstrate that inferring implicit relations is a doable task.
متن کاملIdentifying Semantic Relations and Functional Properties of Human Verb Associations
This paper uses human verb associations as the basis for an investigation of verb properties, focusing on semantic verb relations and prominent nominal features. First, the lexical semantic taxonymy GermaNet is checked on the types of classic semantic relations in our data; verbverb pairs not covered by GermaNet can help to detect missing links in the taxonomy, and provide a useful basis for de...
متن کاملVerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations between verbs. We detect similarity, strength, antonymy, enablement, and temporal happens-before relations between pairs of strongly associated verbs using lexicosyntactic patterns over the Web. On a set of 29,165 strongl...
متن کاملInterpreting Semantic Relations in Noun Compounds via Verb Semantics
We propose a novel method for automatically interpreting compound nouns based on a predefined set of semantic relations. First we map verb tokens in sentential contexts to a fixed set of seed verbs using WordNet::Similarity and Moby’s Thesaurus. We then match the sentences with semantic relations based on the semantics of the seed verbs and grammatical roles of the head noun and modifier. Based...
متن کاملVerb Classification using Distributional Similarity in Syntactic and Semantic Structures
In this paper, we propose innovative representations for automatic classification of verbs according to mainstream linguistic theories, namely VerbNet and FrameNet. First, syntactic and semantic structures capturing essential lexical and syntactic properties of verbs are defined. Then, we design advanced similarity functions between such structures, i.e., semantic tree kernel functions, for exp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Kalbotyra
سال: 1972
ISSN: 2029-8315,1392-1517
DOI: 10.15388/knygotyra.1972.20124