초록 열기/닫기 버튼
This paper investigates semantic relation which is captured by the word embedding(Word2vec). As precedent researches using this methodology already have reviewed the effectiveness of study on the semantic similarity or relativeness of lexical units, it is focused on that which specific properties could be identified. In particular, not only lexical units but also grammatical units were included in this study as the objects. To sum up, it is hard to say that a certain specific type of relation such as synonymy, antonymy, hyponymy, meronymy, or contrastive relation is caught saliently by the word embedding. Rather various types of relations are widely observed since the related words which compose lexical field with target word are extracted under the influence of individual context(especially register). Generally, the results are heavily dependent on the contexts of word usage. Meanwhile, even though it was not enough in terms of grammatical units, there are two small but significant achievements. The first is that the word embedding shows relatively better results in some grammatical categories. And the second is that periphrastic constructions are worthy to be considered equal to single morpheme concerning grammatical function.
키워드열기/닫기 버튼
word embedding, semantic relation, synonymy, antonymy, hyponymy, meronymy, contrastive relation, register, lexical field, vector semantics
