Using word embedding for bio-event extraction

By Chen Li, Runqing Song, Maria Liakata, Andreas Vlachos, S. Seneff, Xiangrong Zhang. 2015

31 citations recorded by the source corpus.

Bio-event extraction is an important phase towards the goal of extracting biological networks from the scientific literature. Recent advances in word embedding make computation of word distribution more ef- ficient and possible. In this study, we investigate methods bringing distributional characteristics of words in the text into event extraction by using the latest word embedding methods. By using bag-ofwords (BOW) features as the baseline, the result has been improved by the introduction of word-embedding features, and is comparable to the state-of-the-art solution.

Subfields: Artificial Intelligence, Molecular Biology