activity
20202024
most citedGRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations

Yoonna Jang, Suhyune Son, Jeongwoo Lee +6

Despite the striking advances in recent language generation performance, model-generated responses have suffered from the chronic problem of hallucinations that are either untrue o…

cs.CL2023★ 4 cited

You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona

Jungwoo Lim, Myunghoon Kang, Yuna Hur +8

To build a conversational agent that interacts fluently with humans, previous studies blend knowledge or personal profile into the pre-trained language model. However, the model th…

cs.CL2022★ 6 cited

GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction

Junyoung Son, Jinsung Kim, Jungwoo Lim +1

The dialogue-based relation extraction (DialogRE) task aims to predict the relations between argument pairs that appear in dialogue. Most previous studies utilize fine-tuning pre-t…

cs.CL2021★ 2 cited

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

Yoonna Jang, Jungwoo Lim, Yuna Hur +6

Humans usually have conversations by making use of prior knowledge about a topic and background information of the people whom they are talking to. However, existing conversational…

cs.CL2020

I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning

Jungwoo Lim, Dongsuk Oh, Yoonna Jang +2

CommonsenseQA is a task in which a correct answer is predicted through commonsense reasoning with pre-defined knowledge. Most previous works have aimed to improve the performance w…