SumTitles: a Summarization Dataset with Low Extractiveness
Valentin Andreevich Malykh, Konstantin Chernis, Ekaterina Artemova, Irina Piontkovskaya · 2020
The existing dialogue summarization corpora are significantly extractive.We introduce a methodology for dataset extractiveness evaluation and present a new low-extractive corpus of movie dialogues for abstractive text summarization along with baseline evaluation.The corpus contains 153k dialogues and consists of three parts: 1) automatically aligned subtitles, 2) automatically aligned scenes from scripts, and 3) manually aligned scenes from scripts.We also present an alignment algorithm which we use to construct the corpus. 1