COSTRA 1.0: A Dataset of Complex Sentence Transformations

Petra Barancikova, Ondřej Bojar


Abstract
We present COSTRA 1.0, a dataset of complex sentence transformations. The dataset is intended for the study of sentence-level embeddings beyond simple word alternations or standard paraphrasing. This first version of the dataset is limited to sentences in Czech but the construction method is universal and we plan to use it also for other languages. The dataset consist of 4,262 unique sentences with average length of 10 words, illustrating 15 types of modifications such as simplification, generalization, or formal and informal language variation. The hope is that with this dataset, we should be able to test semantic properties of sentence embeddings and perhaps even to find some topologically interesting “skeleton” in the sentence embedding space. A preliminary analysis using LASER, multi-purpose multi-lingual sentence embeddings suggests that the LASER space does not exhibit the desired properties.
Anthology ID:
2020.lrec-1.434
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3535–3541
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.434
DOI:
Bibkey:
Cite (ACL):
Petra Barancikova and Ondřej Bojar. 2020. COSTRA 1.0: A Dataset of Complex Sentence Transformations. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3535–3541, Marseille, France. European Language Resources Association.
Cite (Informal):
COSTRA 1.0: A Dataset of Complex Sentence Transformations (Barancikova & Bojar, LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.434.pdf
Data
COSTRA 1.0SentEval