First Steps in Recognizing Relational Entailment – Experimental
Corpus and Baselines

D 2019

First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines

VÍTA, Martin and Jakub KLÍMEK

Basic information

Original name

First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines

Authors

VÍTA, Martin (203 Czech Republic, belonging to the institution) and Jakub KLÍMEK

Edition

Poznań, Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019, p. 143-147, 5 pp. 2019

Publisher

Wydawnictwo Nauka i Innowacje

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Poland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/19:00110583

Organization unit

Faculty of Informatics

ISBN

978-83-65988-31-7

Keywords in English

NLI; relational entailment; textual entailment; annotated corpus

Abstract

V originále

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.

Links

MUNI/A/1018/2018, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.

Investor: Masaryk University, Category A

Citovat

VÍTA, Martin and Jakub KLÍMEK. First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines. In Zygmunt Vetulani, Patrick Paroubek. Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019. Poznań: Wydawnictwo Nauka i Innowacje, 2019, p. 143-147. ISBN 978-83-65988-31-7.

@inproceedings{1552597,
   author = {Víta, Martin and Klímek, Jakub},
   address = {Poznań},
   booktitle = {Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019},
   editor = {Zygmunt Vetulani, Patrick Paroubek},
   keywords = {NLI; relational entailment; textual entailment; annotated corpus},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Poznań},
   isbn = {978-83-65988-31-7},
   pages = {143-147},
   publisher = {Wydawnictwo Nauka i Innowacje},
   title = {First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines},
   year = {2019}
}

TY  - JOUR
ID  - 1552597
AU  - Víta, Martin - Klímek, Jakub
PY  - 2019
TI  - First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines
PB  - Wydawnictwo Nauka i Innowacje
CY  - Poznań
SN  - 9788365988317
KW  - NLI
KW  - relational entailment
KW  - textual entailment
KW  - annotated corpus
N2  - 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.
ER  -

VÍTA, Martin and Jakub KLÍMEK. First Steps in Recognizing Relational Entailment – Experimental Corpus and Baselines. In Zygmunt Vetulani, Patrick Paroubek. \textit{Human Language Technologies as a Challenge for Computer Science and Linguistics – 2019}. Pozna\'n: Wydawnictwo Nauka i Innowacje, 2019, p.~143-147. ISBN~978-83-65988-31-7.

Detailed Information on Publication Record