Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Eunggyun Kim"'
Publikováno v:
Computational Linguistics, Vol 47, Iss 2, Pp 309-332 (2021)
AbstractText-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to so
Externí odkaz:
https://doaj.org/article/a27733949d204b45bf802481b29eec11
Publikováno v:
IEEE Access, Vol 9, Pp 112097-112103 (2021)
Open-domain question answering aims to get answers for given questions from a set of documents. Recently, dual encoder architecture is widely adopted to dense passage retrieval for question answering. In-batch negative sampling is typically used to g
Externí odkaz:
https://doaj.org/article/88d528fd980f43d7a1482de591bddbca
Publikováno v:
IEEE Access, Vol 9, Pp 81778-81785 (2021)
This paper attempts to analyze the Korean sentence classification system. Sentence classification is the task of classifying an input sentence based on predefined categories. However, spelling or space error contained in the input sentence causes pro
Externí odkaz:
https://doaj.org/article/374259ab3ab74a8bb3e53d8302dd87cb
Publikováno v:
IEEE Access, Vol 9, Pp 81778-81785 (2021)
This paper attempts to analyze the Korean sentence classification system. Sentence classification is the task of classifying an input sentence based on predefined categories. However, spelling or space error contained in the input sentence causes pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6261f375fcfc63d06e73a1dbdeaff91
https://ieeexplore.ieee.org/document/9446068/
https://ieeexplore.ieee.org/document/9446068/
Publikováno v:
ACL/IJCNLP (Findings)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b39c677d16513b3d371db32bff67bee
https://doi.org/10.18653/v1/2021.findings-acl.45
https://doi.org/10.18653/v1/2021.findings-acl.45
Autor:
Dongyub Lee, Taesun Whang, Myeong Cheol Shin, Seungwoo Cho, Daniel Lee, Byeongil Ko, Jaechoon Jo, EungGyun Kim
Publikováno v:
COLING
Text summarization refers to the process that generates a shorter form of text from the source document preserving salient information. Many existing works for text summarization are generally evaluated by using recall-oriented understudy for gisting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e414d49e4110c245daa8821283a14c9
https://doi.org/10.18653/v1/2020.coling-main.491
https://doi.org/10.18653/v1/2020.coling-main.491
Publikováno v:
Scopus-Elsevier
Existing works for aspect-based sentiment analysis (ABSA) have adopted a unified approach, which allows the interactive relations among subtasks. However, we observe that these methods tend to predict polarities based on the literal meaning of aspect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b5fb8a656f70d901b1309f7ce83f88e
http://www.scopus.com/inward/record.url?eid=2-s2.0-85121107725&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85121107725&partnerID=MN8TOARS
