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An Annotated Commodity News Corpus for Event Extraction

2021/05/18 by Meisin Lee, Lay-Ki Soon, Lee, Meisin +5 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Web Data Mining and Analysis

paper · pdf · doi:10.48550/arxiv.2105.08214

Abstract

Commodity News contains a wealth of information such as sum-mary of the recent commodity price movement and notable events that led tothe movement. Through event extraction, useful information extracted fromcommodity news is extremely useful in mining for causal relation betweenevents and commodity price movement, which can be used for commodity priceprediction. To facilitate the future research, we introduce a new dataset withthe following information identified and annotated: (i) entities (both nomi-nal and named), (ii) events (trigger words and argument roles), (iii) eventmetadata: modality, polarity and intensity and (iv) event-event relations.

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