Papers by Konstantin Chernis
SumTitles: a Summarization Dataset with Low Extractiveness (2020.coling-main)
Copied to clipboard
| Challenge: | Existing methods for extractive summarization of dialogue data are limited by the grammar and structure of the utterances used. |
| Approach: | They propose a low-extractive corpus of movie dialogues for abstractive text summarization . they use an alignment algorithm to construct the corpus and a baseline evaluation . |
| Outcome: | The proposed method is low-extractive and shows high performance in dialogue datasets. |