@inproceedings{2a93402b735d4a489fd09ec04c39fd1f,
title = "Inter-sentence relation extraction for associating biological context with events in biomedical texts",
abstract = "We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological context as descriptions of the species, tissue type and cell type that are associated with biochemical events. We describe the properties of an annotated corpus of context-event relations and present and evaluate several classifiers for context-event association trained on syntactic, distance and frequency features.",
keywords = "NLP, bioinformatics, context, data mining, relation-extraction",
author = "Enrique Noriega-Atala and Hein, {Paul Douglas} and Thumsi, {Shraddha Satish} and Zechy Wong and Xia Wang and Morrison, {Clayton Thomas}",
note = "Funding Information: This work was supported by the Defense Advanced Research Projects Agency (DARPA) Big Mechanism [ARO W911NF-14-1-0395]. We also thank the University of Arizona Research High Performance Computing support team. Publisher Copyright: {\textcopyright} 2018 IEEE.; 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 ; Conference date: 17-11-2018 Through 20-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ICDMW.2018.00110",
language = "English (US)",
series = "IEEE International Conference on Data Mining Workshops, ICDMW",
publisher = "IEEE Computer Society",
pages = "722--731",
editor = "Hanghang Tong and Zhenhui Li and Feida Zhu and Jeffrey Yu",
booktitle = "Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018",
}