First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00110583" target="_blank" >RIV/00216224:14330/19:00110583 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines
Original language description
Recently, a task of recognizing relational entailment (RRE) was introduced as a task to decide whether the meaning of a given textual $n$-tuple $t$, i. e., the semantic relationship expressed by $t$, can be inferred from a given text $T$. Since then-tuples are obtained from theopen information extraction process, this task naturally connects two NLP fields: natural language inference (NLI) and open information extraction (open IE). The task has a “practical” counterpart: checking/proving facts stored in open knowledge bases. However, no corresponding annotated corpus has been available yet as well as baselines for this task. In this paper, we present a corpus derived fromthe well known SNLI corpus and provide baselines based on LSTM architectures and state also a baseline using “hypothesis-only”-like approach.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019
ISBN
9788365988317
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
143-147
Publisher name
Wydawnictwo Nauka i Innowacje
Place of publication
Poznań
Event location
Poznań
Event date
Jan 1, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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