Search Results for author: Harksoo Kim

Found 12 papers, 0 papers with code

The Pipeline Model for Resolution of Anaphoric Reference and Resolution of Entity Reference

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.

Coreference Resolution

Improving Sentence-Level Relation Extraction through Curriculum Learning

no code implementations20 Jul 2021 Seongsik Park, Harksoo Kim

Sentence-level relation extraction mainly aims to classify the relation between two entities in a sentence.

Curriculum Learning Relation Extraction

Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis

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

Korean-English Machine Translation with Multiple Tokenization Strategy

no code implementations29 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.

Machine Translation Translation

Grammar Accuracy Evaluation (GAE): Quantifiable Intrinsic Evaluation of Machine Translation Models

no code implementations29 May 2021 Dojun Park, Youngjin Jang, Harksoo Kim

Intrinsic evaluation by humans for the performance of natural language generation models is conducted to overcome the fact that the quality of generated sentences cannot be fully represented by only extrinsic evaluation.

Machine Translation Text Generation +1

Improving Document-Level Sentiment Classification Using Importance of Sentences

no code implementations9 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.

Document Classification General Classification +2

Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence

no code implementations5 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)

Relation Extraction

Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism

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)

Relation Extraction

ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples

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.

Translation Word Embeddings

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