Making adjustments to event annotations for improved biological event extraction-Reference-Cited by-同舟云学术

Making adjustments to event annotations for improved biological event extraction

Published:2016-09-16 Issue:1 Volume:7 Page:
ISSN:2041-1480
Container-title:Journal of Biomedical Semantics
language:en
Short-container-title:J Biomed Semant

Author:

Baek Seung-Cheol,Park Jong C.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Health Informatics,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1186/s13326-016-0094-9.pdf

Reference16 articles.

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2. Riedel S, McCallum A. Fast and Robust Joint Models for Biomedical Event Extraction. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. Edinburgh: Association for Computational Linguistics: 2011. p. 1–12.

3. Kim J, Ohta T, Pyysalo S, Kano Y, Tsujii J. Overview of BioNLP’09 shared task on event extraction. In: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task. Singapore: Association for Computational Linguistics: 2009. p. 1–9.

4. Baek S, Park J. Use of clue word annotations as the silver-standard in training models for biological event extraction. In: Proceedings of the 4th International Symposium on Semantic Mining in Biomedicine: 2012. p. 34–41.

5. Björne J, Heimonen J, Ginter F, Airola A, Pahikkala T, Salakoski T. Extracting complex biological events with rich graph-based feature sets. In: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task, BioNLP ’09. Stroudsburg: Association for Computational Linguistics: 2009. p. 10–8.