An Annotated Commodity News Corpus for Event Extraction
Computation and Language
2021-08-26 v3
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.
Cite
@article{arxiv.2105.08214,
title = {An Annotated Commodity News Corpus for Event Extraction},
author = {Meisin Lee and Lay-Ki Soon and Eu-Gene Siew and Ly Fie Sugianto},
journal= {arXiv preprint arXiv:2105.08214},
year = {2021}
}
Comments
Submitted to journal, currently under review