1 code implementation • Findings (EMNLP) 2021 • Thi-Nhung Nguyen, Kiem-Hieu Nguyen, Young-In Song, Tuan-Dung Cao
The goal is approximating similarity between segments and aspects in the embedding space and their ground-truth similarity generated from seed words.
1 code implementation • 22 May 2023 • Hye-Young Kim, Minjin Choi, Sunkyung Lee, Eunseong Choi, Young-In Song, Jongwuk Lee
One extracts core terms from an original query at the term level, and the other determines whether a sub-query is a suitable reduction for the original query at the sequence level.
2 code implementations • 13 Sep 2022 • Eunseong Choi, Sunkyung Lee, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee
Sparse document representations have been widely used to retrieve relevant documents via exact lexical matching.
no code implementations • EACL 2021 • Kyungho Kim, Kyungjae Lee, Seung-won Hwang, Young-In Song, SeungWook Lee
This paper studies the problem of generatinglikely queries for multimodal documents withimages.
no code implementations • EACL 2021 • Hidetaka Kamigaito, Jingun Kwon, Young-In Song, Manabu Okumura
We therefore propose a method for extracting interesting relationships between persons from natural language texts by focusing on their surprisingness.
no code implementations • COLING 2020 • Jingun Kwon, Hidetaka Kamigaito, Young-In Song, Manabu Okumura
Recently, automatic trivia fact extraction has attracted much research interest.
no code implementations • COLING 2016 • Yoon-Sung Kim, Young-In Song, Hae-Chang Rim
Opinion mining is a natural language processing technique which extracts subjective information from natural language text.