Search Results for author: Jungyun Seo

Found 8 papers, 3 papers with code

Fine-grained Post-training for Improving Retrieval-based Dialogue Systems

1 code implementation NAACL 2021 Janghoon Han, Taesuk Hong, Byoungjae Kim, Youngjoong Ko, Jungyun Seo

During the multi-turn response selection, BERT focuses on training the relationship between the context with multiple utterances and the response.

Conversational Response Selection

Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models

1 code implementation COLING 2020 Bosung Kim, Taesuk Hong, Youngjoong Ko, Jungyun Seo

As research on utilizing human knowledge in natural language processing has attracted considerable attention in recent years, knowledge graph (KG) completion has come into the spotlight.

Knowledge Graph Completion Language Modelling +2

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.

Suggestion mining Translation +1

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