research product . 2020

UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media

Wang, Congcong; Lillis, David;
Open Access English
  • Published: 19 Nov 2020
  • Publisher: Association for Computational Linguistics
  • Country: Ireland
Abstract
The 6th Workshop on Noisy User-generated Text (W-NUT 2020), Virtual Workshop,19 November 2020 In this paper, we describe our approach in the shared task: COVID-19 event extraction from Twitter. The objective of this task is to extract answers from COVID-related tweets to a set of predefined slot-filling questions. Our approach treats the event extraction task as a question answering task by leveraging the transformer-based T5 text-to-text model. According to the official evaluation scores returned, namely F1, our submitted run achieves competitive performance compared to other participating runs (Top 3). However, we argue that this evaluation may underestimate t...
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free text keywords: COVID-19, Coronavirus, News events, Event extraction, Computational linguistic techniques, Twitter
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