MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions

Christina Niklaus, André Freitas, Siegfried Handschuh


Abstract
We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences. Contrary to previously proposed text simplification corpora, which contain only a small number of split examples, we present a dataset where each input sentence is broken down into a set of minimal propositions, i.e. a sequence of sound, self-contained utterances with each of them presenting a minimal semantic unit that cannot be further decomposed into meaningful propositions. This corpus is useful for developing sentence splitting approaches that learn how to transform sentences with a complex linguistic structure into a fine-grained representation of short sentences that present a simple and more regular structure which is easier to process for downstream applications and thus facilitates and improves their performance.
Anthology ID:
W19-8615
Volume:
Proceedings of the 12th International Conference on Natural Language Generation
Month:
October–November
Year:
2019
Address:
Tokyo, Japan
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
118–123
Language:
URL:
https://www.aclweb.org/anthology/W19-8615
DOI:
10.18653/v1/W19-8615
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-8615.pdf