Event Extraction Alone Is Not Enough

Publikation: Beiträge in SammelwerkenKonferenzbeitragbegutachtet


With the growing amount of online data, distinguishing between similar events and news about them poses a significant challenge for both companies and crisis reaction units. To discriminate event instances, we present Eventist, a silver-standard event instance dataset from news in English, containing 23,304 news headlines from 90 countries covering in total 113 storm-related events between 1st January 2021 and 1st September 2023. Sampled data is validated by two human raters. Additionally, we propose to adopt a sentence-level event representation for modeling media narrative discourse. Finally, we provide two pairwise comparison benchmarks on event deduplication and event temporal ordering, enabling the practicality of event extraction.

TitelNarrative Extraction From Texts 2024 : Proceedings of Text2Story — Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024)
HerausgeberRicardo Campos, Alípio Mário Jorge, Adam Jatowt, Simut Bhatia, Marina Litvak
Anzahl der Seiten10
VerlagRheinisch-Westfaelische Technische Hochschule Aachen
PublikationsstatusErschienen - 05.2024
Veranstaltung7th Workshop on Narrative Extraction From Texts, Text2Story 2024 - Glasgow, Großbritannien / Vereinigtes Königreich
Dauer: 24.03.202424.03.2024
Konferenznummer: 7

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