All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Language Model Priming for Cross-Lingual Event Extraction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ACSBT4H3W" target="_blank" >RIV/00216208:11320/22:CSBT4H3W - isvavai.cz</a>

  • Result on the web

    <a href="https://ojs.aaai.org/index.php/AAAI/article/view/21307" target="_blank" >https://ojs.aaai.org/index.php/AAAI/article/view/21307</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1609/aaai.v36i10.21307" target="_blank" >10.1609/aaai.v36i10.21307</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Language Model Priming for Cross-Lingual Event Extraction

  • Original language description

    We present a novel, language-agnostic approach to "priming" language models for the task of event extraction, providing particularly effective performance in low-resource and zero-shot cross-lingual settings. With priming, we augment the input to the transformer stack's language model differently depending on the question(s) being asked of the model at runtime. For instance, if the model is being asked to identify arguments for the trigger "protested", we will provide that trigger as part of the input to the language model, allowing it to produce different representations for candidate arguments than when it is asked about arguments for the trigger "arrest" elsewhere in the same sentence. We show that by enabling the language model to better compensate for the deficits of sparse and noisy training data, our approach improves both trigger and argument detection and classification significantly over the state of the art in a zero-shot cross-lingual setting.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • 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

    Proceedings of the AAAI Conference on Artificial Intelligence

  • ISSN

    2159-5399

  • e-ISSN

    2571-0966

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    10627-10635

  • UT code for WoS article

  • EID of the result in the Scopus database