Identifying Semantic Relations and Functional Properties of Human Verb Associations
نویسندگان
چکیده
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 defining non-classical relations. Second, a statistical grammar is used for determining the conceptual roles of the noun responses. We present prominent syntaxsemantic roles and evidence for the usefulness of co-occurrence information in distributional verb descriptions.
منابع مشابه
Developing a Semantic Similarity Judgment Test for Persian Action Verbs and Non-action Nouns in Patients With Brain Injury and Determining its Content Validity
Objective: Brain trauma evidences suggest that the two grammatical categories of noun and verb are processed in different regions of the brain due to differences in the complexity of grammatical and semantic information processing. Studies have shown that the verbs belonging to different semantic categories lead to neural activity in different areas of the brain, and action verb processing is r...
متن کاملHuman Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet
We describe a gold standard for semantic verb classes which is based on human associations to verbs. The associations were collected in a web experiment and then applied as verb features in a hierarchical cluster analysis. We claim that the resulting classes represent a theory-independent gold standard classification which covers a variety of semantic verb relations, and whose features can be u...
متن کاملA Computational Usage-Based Model for Learning General Properties of Semantic Roles
We present a Bayesian model of early verb learning that acquires a general conception of the semantic roles of predicates based only on exposure to individual verb usages. The model forms probabilistic associations between the semantic properties of arguments, their syntactic positions, and the semantic primitives of verbs. Because of the model’s Bayesian formulation, the roles naturally shift ...
متن کاملThe Semantic and Rhetorical Function of the Synonymous and Antonymous Concepts of “Infaq” in the Holy Quran
The syntagmatic (descriptive) semantic approach is an attempt to represent the words and their relations existing in the human mind. Considering this idea, the present paper, while applying this approach, seeks to provide a descriptive analysis of the concept of infaq and to explain the semantic and rhetorical function of the concepts that having a syntagmatic relation with it are sometimes use...
متن کاملLearning General Properties of Semantic Roles from Usage Data: A Computational Model
Semantic roles are a critical aspect of linguistic knowledge because they indicate the relations of the participants in an event to the main predicate. Experimental studies on children and adults show that both groups use associations between general semantic roles such as Agent and Theme, and grammatical positions such as Subject and Object, even in the absence of familiar verbs. Other studies...
متن کامل