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Mishra, Megha
- Question Classification: Semantic Feature
Abstract Views :164 |
PDF Views:1
Authors
Affiliations
1 SOA University, Bhubaneswar, IN
2 BIT, Durg, IN
3 R & D, RCET Raipur, IN
1 SOA University, Bhubaneswar, IN
2 BIT, Durg, IN
3 R & D, RCET Raipur, IN
Source
Research Journal of Engineering and Technology, Vol 3, No 4 (2012), Pagination: 281-285Abstract
Question classification is very important for question answering. This paper presents our research work on question classification through machine learning approach. In order to train the learning model, we designed a rich set of features that are predictive of question categories. We then performed a series of different experiments with the goal of determining the most discriminative set of features that yield the most accurate results.Keywords
Question Answering, Machine Learning, Support Vector Machine, Question Classification, Lexical Features, Syntactical Features, Semantic Features, Combination of Features.- An Impact of Machine Learning with Lexcio-Syntatics Features of Question Classification
Abstract Views :184 |
PDF Views:1
Authors
Affiliations
1 SOA University, Bhubneswar, IN
2 BIT, Durg, IN
3 R &D, RECT Raipur, IN
1 SOA University, Bhubneswar, IN
2 BIT, Durg, IN
3 R &D, RECT Raipur, IN
Source
Research Journal of Engineering and Technology, Vol 3, No 4 (2012), Pagination: 327-331Abstract
Question classification is very important for question answering. This paper presents our research work on question classification through machine learning approaches. We have experimented with three machine learning algorithms: Nearest Neighbors (NN), Naïve Bayes (NB), and Support Vector Machines (SVM) using two kinds of features: bagof- words and bag-of n grams. The experiment results show that with only surface text features the SVM outperforms the other four methods for this task. Further, we propose to use a lexico-syntactic combined feature of question classification.Keywords
Question Answering, Machine Learning, Support Vector Machine, Question Classifications, Lexical Features, Syntactical Feature.- A Brief Structure of Watermarking Relational Database: An Overview
Abstract Views :269 |
PDF Views:2
Authors
Sheela Verma
1,
Megha Mishra
1
Affiliations
1 Shree Shankaracharya College of Engineering and Technology, Bhilai (CG), IN
1 Shree Shankaracharya College of Engineering and Technology, Bhilai (CG), IN