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Explainable lexical entailment with semantic graphs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AYTUIB3G3" target="_blank" >RIV/00216208:11320/22:YTUIB3G3 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/23:TKQPFYTR

  • Result on the web

    <a href="https://www.cambridge.org/core/journals/natural-language-engineering/article/explainable-lexical-entailment-with-semantic-graphs/96A9C7F5B30D7DD5A955B54D9AF8ADF4" target="_blank" >https://www.cambridge.org/core/journals/natural-language-engineering/article/explainable-lexical-entailment-with-semantic-graphs/96A9C7F5B30D7DD5A955B54D9AF8ADF4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/S1351324922000092" target="_blank" >10.1017/S1351324922000092</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Explainable lexical entailment with semantic graphs

  • Original language description

    We present novel methods for detecting lexical entailment in a fully rule-based and explainable fashion, by automatic construction of semantic graphs, in any language for which a crowd-sourced dictionary with sufficient coverage and a dependency parser of sufficient accuracy are available. We experiment and evaluate on both the Semeval-2020 lexical entailment task (Glavaš et al. (2020). Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 24–35) and the SherLIiC lexical inference dataset of typed predicates (Schmitt and Schütze (2019). Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 902–914). Combined with top-performing systems, our method achieves improvements over the previous state-of-the-art on both benchmarks. As a standalone system, it offers a fully interpretable model of lexical entailment that makes detailed error analysis possible, uncovering future directions for improving both the semantic parsing method and the inference process on semantic graphs. We release all components of our system as open source software.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Natural Language Engineering

  • ISSN

    1351-3249

  • e-ISSN

    1469-8110

  • Volume of the periodical

  • Issue of the periodical within the volume

    2022-2-28

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    24

  • Pages from-to

    1-24

  • UT code for WoS article

    000762096000001

  • EID of the result in the Scopus database

    2-s2.0-85125792088