Costra 1.1: An Inquiry into Geometric Properties of Sentence Spaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424434" target="_blank" >RIV/00216208:11320/20:10424434 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-58323-1_14" target="_blank" >http://dx.doi.org/10.1007/978-3-030-58323-1_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-58323-1_14" target="_blank" >10.1007/978-3-030-58323-1_14</a>
Alternative languages
Result language
angličtina
Original language name
Costra 1.1: An Inquiry into Geometric Properties of Sentence Spaces
Original language description
In this paper, we present a new dataset for testing geometric properties of sentence embeddings spaces. In particular, we concentrate on examining how well sentence embeddings capture complex phenomena such paraphrases, tense or generalization. The dataset is a direct expansion of Costra 1.0, which we extended with more sentences and sentence comparisons. We show that available off-the-shelf embeddings do not possess essential attributes such as having synonymous sentences embedded closer to each other than similar sentences with a significantly different meaning. On the other hand, some embeddings appear to capture the linear order of sentence aspects such as style (formality and simplicity of the language) or time (past to future).
Czech name
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Czech description
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Classification
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)
Result continuities
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)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
23rd International Conference on Text, Speech and Dialogue
ISBN
978-3-030-58322-4
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
135-143
Publisher name
Springer
Place of publication
Cham, Switzerland
Event location
Brno, Czechia
Event date
Sep 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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