http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
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- 저자 : Changhoe Hwang(황창회) (검색결과 2 건)
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챗봇의 자연어 이해 학습데이터 증강을 위한 의도 분석/생성용 언어자원의 구축
황창회 ( Hwang Changhoe ),유광훈 ( Yoo Gwanghoon ),남지순 ( Nam Jeesun ) 서강대학교 언어정보연구소 2021 언어와 정보 사회 Vol.44 No.-
This study aims to propose language resources named Deco-TIA/TIG, meticulously developed to annotate and generate TIAD (Topic-Intent-Annotated Datasets) as a NLU (natural language understanding) training dataset for customer service chatbots in the FinTech field. Deco-TIA/TIG are based on Semi-automatic Symbolic Propagation methodology with the DECO (Dictionnaire Electronique du COréen) Korean dictionary and Local-Grammar Graphs. By analyzing actual data web-scraped from fintech services, we found canonical linguistic constructs consisting of topic, event, discourse components with diverse patterns in Korean queries, complaints, and request texts. Deco-TIA/TIG are built to effectively provide high-quality annotated training data for Fintech CS chatbots by covering 32 topics, 38 events, and 15 discourse types extensively. For performance evaluation, we trained DIET (dual intent and entity transformer) and KoBERT framework with TIAD datasets. DIET-only shows F1-score 0.936 (Intent) / 0.854 (Slot/Entity), and DIET+KoBERT shows F1-score 0.95 (Intent) / 0.932 (Slot/Entity).
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Building Chinese Request Pattern Graphs for Chinese-Korean Translation
Jiabin Li(이가빈),Changhoe Hwang(황창회),Jeesun Nam(남지순) 언어과학회 2020 언어과학연구 Vol.0 No.95
This paper aims to describe diverse request patterns in Chinese for the automatic classification and the Chinese-Korean translation of music-request sentences in AI assistant platforms. These patterns are formalized by Local-Grammar Graphs (LGGs), a finite-state grammar, and represented under directed acyclic graphs based on the main function categories. The UNITEX graph editor has been used to construct Chinese LGGs, and the request pattern tags that are proposed for Korean sentences based on DECO Korean Electronic dictionaries was applied. The result of this study has been examined and evaluated by comparison with Google Translate results at the end of the paper. Experimental results prove that the LGG grammar constructed in this paper can effectively cover and annotate various request patterns. This will provide the possibility to generate a large-scale bilingual annotation corpus in the field of music listening.
KCI
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