Search Results for author: Shinhyeok Oh

Found 4 papers, 0 papers with code

Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission

no code implementations WMT (EMNLP) 2021 Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh

As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.

Automatic Post-Editing Multi-Task Learning +1

Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission

no code implementations14 Sep 2021 Shinhyeok Oh, Sion Jang, Hu Xu, Shounan An, Insoo Oh

As experimental results show, our APE system significantly improves the translations of provided MT results by -2. 848 and +3. 74 on the development dataset in terms of TER and BLEU, respectively.

Automatic Post-Editing Multi-Task Learning +1

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

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.

Classification Document Classification +3

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