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/}
}