A Name Entity Detection and Relation Extraction fromUnstructured Data by N-gram Features
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract : In recent years Name entity extraction and linking have received much attention. However, correctclassification of entities and proper linking among these entities is a major challenge for researcher. Wepropose an approach for entities and their relation extraction with feature including lexicon, n-gram and partsof speech clustering and then apply hidden markov model for entity extraction and CRF with kernel approach todetect relationship among these entities. Analysis of our model is done by precision, recall and accuracy. Wehave used kernel approach with Conditional random field for extracting the relation between the entities andthen remove the co-reference by kernel function.
Authors and Affiliations
Naincy Priya , Amanpreet Kaur
Keywords
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