A Verb-Centric Approach for Relationship Extraction in Biomedical Text

@article{Sharma2010AVA,
  title={A Verb-Centric Approach for Relationship Extraction in Biomedical Text},
  author={Abhishek Sharma and Rajesh Swaminathan and Hui Yang},
  journal={2010 IEEE Fourth International Conference on Semantic Computing},
  year={2010},
  pages={377-385}
}
Advances in biomedical technology and research have resulted in a large number of research findings, which are primarily published in unstructured text such as journal articles. Text mining techniques have been thus employed to extract knowledge from such data. In this article we focus on the task of identifying and extracting relations between bio-entities such as green tea and breast cancer. Unlike previous work that employs heuristics such as co-occurrence patterns and handcrafted syntactic… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 15 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 41 references

A survey of current work in biomedical text mining

  • A. M. Cohen, R. William, Hersh
  • Briefings in Bioinformatics”
  • 2005
Highly Influential
5 Excerpts

WordNet - About Us.

  • G. A. Miller
  • WordNet. Princeton University
  • 2009
2 Excerpts

Similar Papers

Loading similar papers…