Towards a Protein-Protein Interaction information extraction system: Recognizing named entities

@article{Mercaderes2014TowardsAP,
  title={Towards a Protein-Protein Interaction information extraction system: Recognizing named entities},
  author={Roxana D{\'a}nger Mercaderes and Ferran Pl{\`a} and Antonio Molina and Paolo Rosso},
  journal={Knowl.-Based Syst.},
  year={2014},
  volume={57},
  pages={104-118}
}
The majority of biological functions of any living being are related to ProteinProtein Interactions (PPI). PPI discoveries are reported in form of research publications whose volume grows day after day. Consequently, automatic PPI information extraction systems are a pressing need for biologists. In this paper we are mainly concerned with the named entity detection module of PPIES (the PPI Information extraction system we are implementing) which recognizes twelve entity types relevant in PPI… CONTINUE READING
BETA
1
Twitter Mention

Citations

Publications citing this paper.
SHOWING 1-10 OF 11 CITATIONS

RelP: Portuguese Open Relation Extraction

VIEW 9 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Named entity recognition in unstructured text.

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Enhancement of Medical Named Entity Recognition Using Graph-Based Features

  • 2015 IEEE International Conference on Systems, Man, and Cybernetics
  • 2015
VIEW 2 EXCERPTS
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 59 REFERENCES

A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model

  • Seventh IEEE International Conference on Data Mining (ICDM 2007)
  • 2007
VIEW 11 EXCERPTS
HIGHLY INFLUENTIAL

Lucene in Action

VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Two-phase biomedical named entity recognition using CRFs

  • Computational Biology and Chemistry
  • 2009
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Introduction to the bio-entity recognition task at JNLPBA

J.-D. Kim, T. Ohta, Y. Tsuruoka, Y. Tateisi, N. Collier
  • in: Proceedings of the Joint Workshop on Natural Language Processing in Biomedicine and its Applications
  • 2004
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

C

P. Nadkarni, R. Chen
  • Brandt, Umls concept indexing for production databases: a feasibility study., Am Med Inform Assoc 8
  • 2001
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

D

P. Pagel, S. Kovac, +8 authors A. Ruepp
  • Frishman, The mips mammalian protein-protein interaction database., Bioinformatics 21
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A top-down approach for finding interaction detection methods

R. Leaman, R. Sullivan, G. Gonzalez
  • in: Proceedings of BioCreative III
  • 2010
VIEW 2 EXCERPTS

Similar Papers

Loading similar papers…