Event prominence extraction combining a knowledge-based syntactic parser and a BERT classifier for Dutch
A core task in information extraction is event detection that identifies event triggers in sentences that are typically classified into event types. In this study an event is considered as the unit to measure diversity and similarity in news articles in the framework of a news recommendation system. Current typology-based event detection approaches fail to handle the variety of events expressed in real-world situations. To overcome this, we aim to perform event salience classification and explore whether a transformer model is capable of classifying new information into less and more general p... Mehr ...
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Dokumenttyp: | conference |
Erscheinungsdatum: | 2021 |
Verlag/Hrsg.: |
INCOMA
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Schlagwörter: | Languages and Literatures / information retrieval / event extraction / event detection / event classification |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28624183 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://biblio.ugent.be/publication/8728027 |