@inproceedings{stoyanova-2018-factors,
title = "Factors and Features Determining the Inheritance of Semantic Primes between Verbs and Nouns within {W}ord{N}et",
author = "Stoyanova, Ivelina",
booktitle = "Proceedings of the Third International Conference on Computational Linguistics in Bulgaria (CLIB 2018)",
month = may,
year = "2018",
address = "Sofia, Bulgaria",
publisher = "Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences",
url = "https://aclanthology.org/2018.clib-1.17",
pages = "135--145",
abstract = "The paper outlines the mechanisms of inheriting semantic content between verbs and nouns as a result of derivational relations. The main factors determining the inheritance are: (1) the semantic class of the verb as represented by the noun; (2) the subcategorisation frame and argument structure of the verb predicate; (3) the derivational relation between the verb and the noun, as well as the resulting semantic relation made explicit through the derivation; (4) hierarchical relations within WordNet. The paper explores three types of verb-noun prime inheritance relations: (a) universal {--} not depending on the argument structure, which are eventive or circumstantial; (b) general {--} specific to classes of verbs, for example agentive or non-agentive; (c) verb-specific {--} depending on the specific subcategorisation frame of the verb as presented in VerbNet and/or FrameNet. The paper presents a possibility for extended coverage of semantic relations based on information about the argument structure of verbs. Further, the work focuses on the regularities in the way in which derivationally related nouns inherit semantic characteristics of the predicate. These regularities can be applied for the purposed of predicting derivationally and semantically related synsets within WordNet, as well as for the creation of language specific synsets, for consistency checks and verification.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="stoyanova-2018-factors">
<titleInfo>
<title>Factors and Features Determining the Inheritance of Semantic Primes between Verbs and Nouns within WordNet</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ivelina</namePart>
<namePart type="family">Stoyanova</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Third International Conference on Computational Linguistics in Bulgaria (CLIB 2018)</title>
</titleInfo>
<originInfo>
<publisher>Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences</publisher>
<place>
<placeTerm type="text">Sofia, Bulgaria</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>The paper outlines the mechanisms of inheriting semantic content between verbs and nouns as a result of derivational relations. The main factors determining the inheritance are: (1) the semantic class of the verb as represented by the noun; (2) the subcategorisation frame and argument structure of the verb predicate; (3) the derivational relation between the verb and the noun, as well as the resulting semantic relation made explicit through the derivation; (4) hierarchical relations within WordNet. The paper explores three types of verb-noun prime inheritance relations: (a) universal – not depending on the argument structure, which are eventive or circumstantial; (b) general – specific to classes of verbs, for example agentive or non-agentive; (c) verb-specific – depending on the specific subcategorisation frame of the verb as presented in VerbNet and/or FrameNet. The paper presents a possibility for extended coverage of semantic relations based on information about the argument structure of verbs. Further, the work focuses on the regularities in the way in which derivationally related nouns inherit semantic characteristics of the predicate. These regularities can be applied for the purposed of predicting derivationally and semantically related synsets within WordNet, as well as for the creation of language specific synsets, for consistency checks and verification.</abstract>
<identifier type="citekey">stoyanova-2018-factors</identifier>
<location>
<url>https://aclanthology.org/2018.clib-1.17</url>
</location>
<part>
<date>2018-05</date>
<extent unit="page">
<start>135</start>
<end>145</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Factors and Features Determining the Inheritance of Semantic Primes between Verbs and Nouns within WordNet
%A Stoyanova, Ivelina
%S Proceedings of the Third International Conference on Computational Linguistics in Bulgaria (CLIB 2018)
%D 2018
%8 May
%I Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences
%C Sofia, Bulgaria
%F stoyanova-2018-factors
%X The paper outlines the mechanisms of inheriting semantic content between verbs and nouns as a result of derivational relations. The main factors determining the inheritance are: (1) the semantic class of the verb as represented by the noun; (2) the subcategorisation frame and argument structure of the verb predicate; (3) the derivational relation between the verb and the noun, as well as the resulting semantic relation made explicit through the derivation; (4) hierarchical relations within WordNet. The paper explores three types of verb-noun prime inheritance relations: (a) universal – not depending on the argument structure, which are eventive or circumstantial; (b) general – specific to classes of verbs, for example agentive or non-agentive; (c) verb-specific – depending on the specific subcategorisation frame of the verb as presented in VerbNet and/or FrameNet. The paper presents a possibility for extended coverage of semantic relations based on information about the argument structure of verbs. Further, the work focuses on the regularities in the way in which derivationally related nouns inherit semantic characteristics of the predicate. These regularities can be applied for the purposed of predicting derivationally and semantically related synsets within WordNet, as well as for the creation of language specific synsets, for consistency checks and verification.
%U https://aclanthology.org/2018.clib-1.17
%P 135-145
Markdown (Informal)
[Factors and Features Determining the Inheritance of Semantic Primes between Verbs and Nouns within WordNet](https://aclanthology.org/2018.clib-1.17) (Stoyanova, CLIB 2018)
ACL