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A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AP3LAR7CC" target="_blank" >RIV/00216208:11320/23:P3LAR7CC - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2023.depling-1.9/" target="_blank" >https://aclanthology.org/2023.depling-1.9/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation

  • Original language description

    "We present work in progress that aims to address the coverage issue faced by rule-based text generators. We propose a pipeline for extracting abstract dependency template (predicate-argument structures) from Wikipedia text to be used as input for generating text from structured data with the FORGe system. The pipeline comprises three main components: (i) candidate sentence retrieval, (ii) clause extraction, ranking and selection, and (iii) conversion to predicate-argument form. We present an approach and preliminary evaluation for the ranking and selection module."

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    2023

  • 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 Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)"

  • ISBN

    978-1-959429-32-6

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    91-101

  • Publisher name

    ACL

  • Place of publication

    Washington DC, USA

  • Event location

    Washington DC, USA

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article