Identifying Protein Interaction Abstracts with Contextual Bag of Words
Abstract
In this paper, we focus on the identification of biomedical abstracts related to protein-protein interactions. We propose a novel feature representation, contextual-bag-of-words, to exploit named entity information. Our method outperforms well-known methods that use named entity information as additional features. Furthermore, we have improved the performance by extracting reliable and informative instances from unlabeled and likely-positive data to provide additional training data.
Cite
Text
Hung et al. "Identifying Protein Interaction Abstracts with Contextual Bag of Words." AAAI Conference on Artificial Intelligence, 2007.Markdown
[Hung et al. "Identifying Protein Interaction Abstracts with Contextual Bag of Words." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/hung2007aaai-identifying/)BibTeX
@inproceedings{hung2007aaai-identifying,
title = {{Identifying Protein Interaction Abstracts with Contextual Bag of Words}},
author = {Hung, Hsieh-Chuan and Tsai, Richard Tzong-Han and Hsu, Wen-Lian},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2007},
pages = {1870-1871},
url = {https://mlanthology.org/aaai/2007/hung2007aaai-identifying/}
}