activity
20182022
most citedSummary Level Training of Sentence Rewriting for Abstractive Summarization

8 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20225 cited

Keep Me Updated! Memory Management in Long-term Conversations

Sanghwan Bae, Donghyun Kwak, Soyoung Kang +7

Remembering important information from the past and continuing to talk about it in the present are crucial in long-term conversations. However, previous literature does not deal wi…

cs.CL20221 cited

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models

Sanghwan Bae, Donghyun Kwak, Sungdong Kim +4

Recent open-domain dialogue models have brought numerous breakthroughs. However, building a chat system is not scalable since it often requires a considerable volume of human-human…

cs.CL20198 cited

Summary Level Training of Sentence Rewriting for Abstractive Summarization

Sanghwan Bae, Taeuk Kim, Jihoon Kim +1

As an attempt to combine extractive and abstractive summarization, Sentence Rewriting models adopt the strategy of extracting salient sentences from a document first and then parap…

cs.CL20193 cited

SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification

Sanghwan Bae, Jihun Choi, Sang-goo Lee

We present several techniques to tackle the mismatch in class distributions between training and test data in the Contextual Emotion Detection task of SemEval 2019, by extending th…

cs.CL2018

Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations

Taeuk Kim, Jihun Choi, Daniel Edmiston +2

Most existing recursive neural network (RvNN) architectures utilize only the structure of parse trees, ignoring syntactic tags which are provided as by-products of parsing. We pres…