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Pyramid-based Summary Evaluation Using Abstract Meaning Representation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43949738" target="_blank" >RIV/49777513:23520/17:43949738 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.26615/978-954-452-049-6_090" target="_blank" >http://dx.doi.org/10.26615/978-954-452-049-6_090</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.26615/978-954-452-049-6_090" target="_blank" >10.26615/978-954-452-049-6_090</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pyramid-based Summary Evaluation Using Abstract Meaning Representation

  • Original language description

    We propose a novel metric for evaluating summary content coverage. The evaluation framework follows the Pyramid approach to measure how many summarization content units, considered important by human annotators, are contained in an automatic summary. Our approach automatizes the evaluation process, which does not need any manual intervention on the evaluated summary side. Our approach compares abstract meaning representations of each content unit mention and each summary sentence. We found that the proposed metric complements well the widely-used ROUGE metrics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017

  • ISBN

    978-954-452-048-9

  • ISSN

    1313-8502

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    701-706

  • Publisher name

    INCOMA Ltd.

  • Place of publication

    Shoumen, BULGARIA

  • Event location

    Varna Bulgaria

  • Event date

    Sep 2, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article