2 citations · 3 across the 4 of their papers we have counts for
5 papers
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew
One of the challenges in event extraction via traditional supervised learning paradigm is the need for a sizeable annotated dataset to achieve satisfactory model performance. It is…
CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extraction
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew +1
In this paper, we present CrudeOilNews, a corpus of English Crude Oil news for event extraction. It is the first of its kind for Commodity News and serve to contribute towards reso…
Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extraction
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew
Event extraction in commodity news is a less researched area as compared to generic event extraction. However, accurate event extraction from commodity news is useful in abroad ran…
An Annotated Commodity News Corpus for Event Extraction
Meisin Lee, Lay-Ki Soon, Eu-Gene Siew +1
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…
Review-Level Sentiment Classification with Sentence-Level Polarity Correction
Sylvester Olubolu Orimaye, Saadat M. Alhashmi, Eu-Gene Siew +1
We propose an effective technique to solving review-level sentiment classification problem by using sentence-level polarity correction. Our polarity correction technique takes into…