Volume : I, Issue : V, February - 2012
Improved Approaches to Coreference Resolution in Machine Learning
Kuldeep Singh Raghuwanshi, Ashwini Kumar Verma
Abstract :
We present a noun phrase coreference system that extends the work of Soon et al. (2001) and, to our knowledge, produces the best results to date on the MUC–6 and MUC–7 coreference resolution datasets F–measures of 70.4 and 63.4, respectively. Improvements arise from two sources: extralinguistic changes to the learning framework and a large–scale expansion of the feature set to include more sophisticated linguistic knowledge.
Keywords :
Article:
Download PDF
DOI : 10.36106/ijar
Cite This Article:
Kuldeep Singh Raghuwanshi, Ashwini Kumar Verma Improved Approaches to Coreference Resolution in Machine Learning Indian Journal of Applied Research, Vol.I, Issue.V February 2012
Number of Downloads : 755
Kuldeep Singh Raghuwanshi, Ashwini Kumar Verma Improved Approaches to Coreference Resolution in Machine Learning Indian Journal of Applied Research, Vol.I, Issue.V February 2012
Our Other Journals...
-
International Journal of
Scientific Research Visit Website -
PARIPEX Indian Journal
of Research Visit Website -
Global Journal for
Research Analysis Visit Website