전자 술어사전 구축을 위한 ‘만족’과 ‘불만’의 형태ㆍ통사적 기술
A Morpho-Syntactic Description of mancok/pwulman for Building an Electronic ictionary of Predicates
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This study aims at describing morpho-syntactic properties of mancok (satisfaction) and pwulman (dissatisfaction) for building an electronic dictionary of Korean predicates, notably predicates of sentiment expressions. The nouns mancok/pwulman are not only significant in the network construction of general sentiment nouns, but also essential in the classification of subjective sentences such as positive and negative ones in opinion mining research area. To begin with,representative Korean dictionaries have been consulted and large-scale corpora have been analyzed to provide linguistic properties of these nouns such as derivational particularities, contextual collocations and syntactic structures. Although the derivational aspects of these nouns are relatively poor, they occur in a complex set of sentence types: the predicates made of the verbs or adjectives derived from these nouns may constitute 8 syntactic structures according to the argument types and noun distributions; the predicates composed of these nouns accompanied by other verbs or adjectives can be classified into 7 syntactic classes. On the basis of this morpho-syntactic description, a formal method named Local-Grammar Graph (LGG) model has been introduced to transform the linguistic description into an electronic database directly applicable to the automatic text processing.
Abstract
This study aims at describing morpho-syntactic properties of mancok (satisfaction) and pwulman (dissatisfaction) for building an electronic dictionary of Korean predicates, notably predicates of sentiment expressions. The nouns mancok/pwulman are not only significant in the network construction of general sentiment nouns, but also essential in the classification of subjective sentences such as positive and negative ones in opinion mining research area. To begin with,representative Korean dictionaries have been consulted and large-scale corpora have been analyzed to provide linguistic properties of these nouns such as derivational particularities, contextual collocations and syntactic structures. Although the derivational aspects of these nouns are relatively poor, they occur in a complex set of sentence types: the predicates made of the verbs or adjectives derived from these nouns may constitute 8 syntactic structures according to the argument types and noun distributions; the predicates composed of these nouns accompanied by other verbs or adjectives can be classified into 7 syntactic classes. On the basis of this morpho-syntactic description, a formal method named Local-Grammar Graph (LGG) model has been introduced to transform the linguistic description into an electronic database directly applicable to the automatic text processing.
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