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Lab bulletin board renewal
/photos/news/20201222_bulletinboard_renewal.jpgPublished December 23, 2020
We renewed our lab bulletin board. Thanks for sharing decoration ideas, it looks great!
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Attending the 2nd K-GLOBAL web-based seminar on technology transfer
/photos/news/2020_K-GLOBAL_2nd_FN_rec.jpgPublished July 15, 2020
Our lab attended the 2nd K-GLOBAL briefing seminar on technology transfer held in the web on July 15, 2020. Prof. Park gave a presentation for our project titled "A system and method for communication training program over virtual reality and continued feedback via mobile device".
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A paper has been accepted in the BMC Bioinformatics
/photos/news/BMCBioinformatics2.pngPublished January 07, 2020
Our paper "Unsupervised inference of implicit biomedical events using context triggers" (author: Jin-Woo Chung, Wonsuk Yang, and Jong C. Park) has been accepted in the BMC Bioinformatics, 2020 (IF 2.511).
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Attending 2019 SW StarLab Future SW Technology Forum
/photos/news/2019스타랩_02.jpgPublished November 22, 2019
Most members of NLP*CL lab attended the 2019 SW StarLab Future SW Technology Forum held in the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea on November 22, 2019. Prof. Park hosted and held the 2019 SW StarLab Future SW Technology Forum successfully.
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Attending EMNLP-IJCNLP 2019, Hong Kong SAR
/photos/news/KakaoTalk_20191114_141924367.jpgPublished November 02, 2019
Wonsuk, Seungwon, ChaeHun, and Prof. Park attended the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) held in Hong Kong SAR, on November 2–7, 2019. Wonsuk gave an oral presentation for the long paper titled "Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials". Seungwon gave an oral presentation for the paper titled "Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing" at the 1st Workshop on AnnoNLP. ChaeHun gave an oral presentation for the paper titled "Generating Sentential Arguments from Diverse Perspectives on Controversial Topic" at the NLP4IF 2019 workshop.
(more info..)
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Two papers accepted at EMNLP-IJCNLP 2019 Workshop
/photos/news/2019EMNLP2.jpgPublished October 08, 2019
Our papers "Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing" (authored by Seungwon Yoon, Wonsuk Yang, and Jong C. Park) and "Generating Sentential Arguments from Diverse Perspectives on Controversial Topic" (authored by ChaeHun Park, Wonsuk Yang, and Jong C. Park) have been accepted as long papers at the 1st Workshop on Aggregating and analysing crowdsourced annotations for NLP (AnnoNLP) (1st AnnoNLP) and the 2nd Workshop on NLP for Internet Freedom (NLP4IF): Censorship, Disinformation, and Propaganda (NLP4IF 2019), respectively.
(more info..)
Our lab has been selected as SW Star Lab.
Published May 01, 2018
The Korean Ministry of Science and ICT and IITP selected our lab as a SW Star Lab of intelligent software on April 20, 2018. The selected lab will receive project funding of up to 300 million won per year for up to eight years and is encouraged to develop a world-class research agenda through open software.
Our lab will work on the development of software for automatically predicting the credibility distribution of given documents and dialogues, consisting of five modules: data collection, automatic collection of evidence, credibility enhancement, credibility distribution prediction, and linguistic analysis.
This year, a total of five laboratories have been selected in four universities: Seoul National University, POSTECH, Chung Ang University, and KAIST. There are two laboratories in the field of intelligent software including our lab.
Recent Photos
Recent Publications
The lastest three papers accepted or published
- Jisu Shin, Hoyun Song, and Jong C. Park: "BERT-based Personality Disorder Detection Model with Abusive Language Marking from Social Media" (KCC 2021)
- Sukmin Cho, Wonsuk Yang, ChaeHun Park, and Jong C. Park: "The Relationship between the Quality of Automatically Generated Questions and the Quantity of the Context given for the Generation" (KCC 2021)
- Soyeong Jeong, Jinheon Baek, ChaeHun Park, and Jong C. Park: "Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation" (SDP 2021@NAACL-HLT 2021)
Recent Access
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