Digital Library

Search: "[ keyword: named entity recognition ]" (5)
    Token-Based Classification and Dataset Construction for Detecting Modified Profanity
    Sungmin Ko, Youhyun Shin The Transactions of the Korea Information Processing Society, Vol. 13, No. 4, pp. 181-188, Apr. 2024
    https://doi.org/10.3745/TKIPS.2024.13.4.181
    Keywords: Artificial intelligence, Natural Language Processing, named entity recognition, Profanity, ChatGPT


    Detection of Adverse Drug Reactions Using Drug Reviews with BERT+ Algorithm
    Eun Yeong Heo, Hyeon-jeong Jeong, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 465-472, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.465
    Keywords: Detection of ADRs, Drug Reviews, sentiment analysis, named entity recognition, ADRs Dictionary


    HMM-based Korean Named Entity Recognition
    Yi Gzu Hwang , Bo Hyun Yun The KIPS Transactions:PartB , Vol. 10, No. 2, pp. 229-236, Apr. 2003
    10.3745/KIPSTB.2003.10.2.229


    Named Entity Recognition for Patent Documents Based on Conditional Random Fields
    Lee Tae Seok, Shin Su Mi, Kang Seung Shik KIPS Transactions on Software and Data Engineering, Vol. 5, No. 9, pp. 419-424, Sep. 2016
    10.3745/KTSDE.2016.5.9.419
    Keywords: Conditional Random Fields, Named Entity Recognition, Patent Corpus, Kappa Coefficient, 10-Fold Cross Validation


    Named Entity Recognition and Dictionary Construction for Korean Title: Books, Movies, Music and TV Programs
    Yong Min Park , Jae Sung Lee KIPS Transactions on Software and Data Engineering, Vol. 3, No. 7, pp. 285-292, Jul. 2014
    10.3745/KTSDE.2014.3.7.285


Forms



Category Search

Publications


Old Journals


Indexing


All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Organization


Related Journals