COSTRA 1.0: A Dataset of Complex Sentence Transformations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424432" target="_blank" >RIV/00216208:11320/20:10424432 - isvavai.cz</a>

Result on the web

<a href="https://www.aclweb.org/anthology/2020.lrec-1.434" target="_blank" >https://www.aclweb.org/anthology/2020.lrec-1.434</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

COSTRA 1.0: A Dataset of Complex Sentence Transformations

Original language description

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 consists of 4,262 unique sentences with an 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 &apos;&apos;skeleton&apos;&apos; 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

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)

ISBN

979-10-95546-34-4

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

3535-3541

Publisher name

European Language Resources Association

Place of publication

Marseille, France

Event location

Marseille, France

Event date

May 11, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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