A Detailed Analysis of Core NLP for Information Extraction
Journal Title: International Journal of Machine Learning and Networked Collaborative Engineering - Year 2017, Vol 1, Issue 1
Abstract
The amount of unstructured text present in all electronic media is increasing periodically day after day. In order to extract relevant and succinct information, extraction algorithms are limited to entity relationships. This paper is the compendium of different bootstrapping approaches which have their own subtask of extracting dependencies like who did, what, whom, from natural language sentence. This can be extremely helpful in both feature design and error analysis in the application of machine learning to natural language processing
Authors and Affiliations
Simran Kaur, Rashmi Agrawal
Keywords
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- EP ID EP283403
- DOI 10.30991/IJMLNCE.2017v01i01.005
- Views 119
- Downloads 0
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