@inproceedings{3e190d71e32f4bdf9c5ea1b3a9d56cf6,
title = "Using word embedding for bio-event extraction",
abstract = "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 efficient 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-of-words (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.",
author = "Chen Li and Runqing Song and Maria Liakata and Andreas Vlachos and Stephanie Seneff and Xiangrong Zhang",
note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics; ACL-IJCNLP 2015 Workshop on Biomedical Natural Language Processing, BioNLP 2015 ; Conference date: 30-07-2015",
year = "2015",
language = "英语",
series = "ACL-IJCNLP 2015 - BioNLP 2015: Workshop on Biomedical Natural Language Processing, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "121--126",
booktitle = "ACL-IJCNLP 2015 - BioNLP 2015",
}