6 citations · 8 across the 4 of their papers we have counts for
4 papers
Leveraging Non-dialogue Summaries for Dialogue Summarization
Seongmin Park, Dongchan Shin, Jihwa Lee
To mitigate the lack of diverse dialogue summarization datasets in academia, we present methods to utilize non-dialogue summarization data for enhancing dialogue summarization syst…
LIME: Weakly-Supervised Text Classification Without Seeds
Seongmin Park, Jihwa Lee
In weakly-supervised text classification, only label names act as sources of supervision. Predominant approaches to weakly-supervised text classification utilize a two-phase framew…
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
Seongmin Park, Jihwa Lee
We advance the state-of-the-art in unsupervised abstractive dialogue summarization by utilizing multi-sentence compression graphs. Starting from well-founded assumptions about word…
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation
Seongmin Park, Dongchan Shin, Sangyoun Paik +3
Fine-tuning pretrained language models (LMs) is a popular approach to automatic speech recognition (ASR) error detection during post-processing. While error detection systems often…