Hybrid Approach for Punjabi Question Answering System
In this paper a hybrid algorithm for Punjabi Question Answering system has been implemented. A hybrid system that works on various kinds of question types using the concepts of pattern matching as well as mathematical expression for developing a scoring system that can help differentiate best answer among available set of multiple answers found by the algorithm and is also domain specific like sports. The proposed system is designed and built in such a way that it increases the accuracy of question answering system in terms of recall and precision and is working for factoid questions and answers text in Punjabi. The system constructs a novel mathematical scoring system to identify most accurate probable answer out of the multiple answer patterns.The answers are extracted for various types of Punjabi questions. The experimental results are evaluated on the basis of Precision, Recall, F-score and Mean Reciprocal Rank (MRR). The average value of precision, recall, f-score and Mean Reciprocal Rank is 85.66%, 65.28%, 74.06%, 0.43 (normalised value) respectively. MRR values are Optimal. These values are act as discrimination factor values between one relevant answer to the other relevant answer.
KeywordsNatural language processing Text Mining Punjabi Question answering system Information Extraction Information retrieval
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