Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks

1 code implementation • 11 Jun 2023 • Sugyeong Eo, Hyeonseok Moon, Jinsung Kim, Yuna Hur, Jeongwook Kim, Songeun Lee, Changwoo Chun, Sungsoo Park, Heuiseok Lim

In this paper, we propose a QAG framework that enhances QA type diversity by producing different interrogative sentences and implicit/explicit answers.

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

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.

Hallucination Language Modelling +1

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

2 code implementations • 16 Dec 2021 • Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, Heuiseok Lim

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

GREG: A Global Level Relation Extraction with Knowledge Graph Embedding

no code implementations • Appl. Sci. 2020 2020 • Kuekyeng Kim, Yuna Hur, Gyeongmin Kim, Heuiseok Lim

Currently, most relation extraction modules are more focused on the extraction of local mention-level relations—usually from short volumes of text.

Knowledge Graph Embedding Knowledge Graph Embeddings +3