no code implementations • EMNLP (newsum) 2021 • Dongyub Lee, Jungwoo Lim, Taesun Whang, Chanhee Lee, Seungwoo Cho, Mingun Park, Heuiseok Lim
In this paper, we focus on improving the quality of the summary generated by neural abstractive dialogue summarization systems.
no code implementations • 8 Sep 2023 • Dongyub Lee, Taesun Whang, Chanhee Lee, Heuiseok Lim
First, we build a dataset to train a critic model capable of evaluating the citation, correctness, and fluency of responses generated by LLMs in QA systems.
1 code implementation • 6 Jan 2023 • Jungwoo Lim, Myunghoon Kang, Yuna Hur, SeungWon Jung, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, Donghoon Shin, Seungryong Kim, Heuiseok Lim
The agent selects the proper knowledge and persona to use for generating the answers with our candidate scoring implemented with a poly-encoder.
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 • 24 Oct 2020 • Dongyub Lee, Byeongil Ko, Myeong Cheol Shin, Taesun Whang, Daniel Lee, Eun Hwa Kim, EungGyun Kim, Jaechoon Jo
Existing works for disfluency detection have focused on designing a single objective only for disfluency detection, while auxiliary objectives utilizing linguistic information of a word such as named entity or part-of-speech information can be effective.
1 code implementation • 10 Sep 2020 • Taesun Whang, Dongyub Lee, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems.
Ranked #3 on Conversational Response Selection on E-commerce
no code implementations • COLING 2020 • Dongyub Lee, Myeongcheol Shin, Taesun Whang, Seungwoo Cho, Byeongil Ko, Daniel Lee, EungGyun Kim, Jaechoon Jo
In this paper, we propose evaluation metrics that reflect semantic meanings of a reference summary and the original document, Reference and Document Aware Semantic Score (RDASS).
1 code implementation • 13 Aug 2019 • Taesun Whang, Dongyub Lee, Chanhee Lee, Kisu Yang, Dongsuk Oh, Heuiseok Lim
We focus on multi-turn response selection in a retrieval-based dialog system.
2 code implementations • 27 Jun 2019 • Kisu Yang, Dongyub Lee, Taesun Whang, Seolhwa Lee, Heuiseok Lim
We propose a contextual emotion classifier based on a transferable language model and dynamic max pooling, which predicts the emotion of each utterance in a dialogue.
no code implementations • COLING 2018 • Chanhee Lee, Young-Bum Kim, Dongyub Lee, Heuiseok Lim
Generating character-level features is an important step for achieving good results in various natural language processing tasks.