Anirvana Mishra
ABSTRACT
We present a novel approach to extract keyphrases based on Augmented Transition Networks (abbreviated as ATNs) followed by statistical methods from any given article, notes on a particular subject, or any other document source. The use of ATNs has completely ruled out the need of background corpora in identifying the potential keywords and keyphrases. Moreover, the use of ATNs has greatly reduced the search space for the statistical methods. We have devised two new methods namely, relaxed statistical analysis and stringent statistical analysis to identify the separability of phrases into sub phrases. In this paper, the two tier process is discussed in detail and illustrated with examples. We have also discussed the applications of this process briefly.
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Digital Library
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Index Terms
- A novel approach to keyphrase extraction using augmented transition networks and statistical tools
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