no code implementations • ACL (CODI, CRAC) 2021 • Hongjin Kim, Damrin Kim, Harksoo Kim
In this paper, we propose the pipelined model (i. e., a resolution of anaphoric identity and a resolution of bridging references) for the subtask1 and the subtask2.
no code implementations • ACL (dialdoc) 2021 • Boeun Kim, Dohaeng Lee, Sihyung Kim, Yejin Lee, Jin-Xia Huang, Oh-Woog Kwon, Harksoo Kim
In this paper, we propose two models (i. e., a knowledge span prediction model and a response generation model) for the subtask1 and the subtask2.
no code implementations • COLING (CODI, CRAC) 2022 • Damrin Kim, Seongsik Park, Mirae Han, Harksoo Kim
Therefore, we proceed with the anaphora resolution as a two-stage pipeline model.
no code implementations • 26 Jun 2023 • Damrin Kim, NamHyeok Kim, Chanjun Park, Harksoo Kim
This paper presents a novel approach of leveraging Inter-Annotator Agreement (IAA), traditionally used for assessing labeling consistency, to optimize Data Management Operations (DMOps).
no code implementations • 20 Jul 2021 • Seongsik Park, Harksoo Kim
Sentence-level relation extraction mainly aims to classify the relation between two entities in a sentence.
Ranked #1 on Relation Extraction on Re-TACRED
no code implementations • ACL 2021 • Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Gaeun Seo, EungGyun Kim, Harksoo Kim
In this paper, we propose Deep Contextualized Relation-Aware Network (DCRAN), which allows interactive relations among subtasks with deep contextual information based on two modules (i. e., Aspect and Opinion Propagation and Explicit Self-Supervised Strategies).
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 29 May 2021 • Dojun Park, Youngjin Jang, Harksoo Kim
Natural Language Generation (NLG) refers to the operation of expressing the calculation results of a system in human language.
1 code implementation • 29 May 2021 • Dojun Park, Youngjin Jang, Harksoo Kim
This work was conducted to find out how tokenization methods affect the training results of machine translation models.
no code implementations • 9 Mar 2021 • Gihyeon Choi, Shinhyeok Oh, Harksoo Kim
Although there are sentences in a document that support important evidences for sentiment analysis and sentences that do not, they have treated the document as a bag of sentences.
Ranked #1 on Document Classification on IMDb-M
no code implementations • 5 Mar 2021 • Seongsik Park, Harksoo Kim
The proposed model finds n-to-1 subject-object relations using a forward object decoder.
Ranked #1 on Relation Extraction on ACE 2005 (Relation classification F1 metric)
no code implementations • WS 2019 • Seong Sik Park, Harksoo Kim
The proposed model finds n-to-1 subject-object relations by using a forward de-coder called an object decoder.
Ranked #1 on Relation Extraction on ACE 2005 (Cross Sentence metric)
no code implementations • SEMEVAL 2019 • Cheoneum Park, Juae Kim, Hyeon-gu Lee, Reinald Kim Amplayo, Harksoo Kim, Jungyun Seo, Chang-Ki Lee
This paper describes our system, Joint Encoders for Stable Suggestion Inference (JESSI), for the SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.