Identifying Quora question pairs having the same intent

This paper presents a system which uses a combination of multiple text similarity measures of varying complexities to classify Quora question pairs as duplicate or different. The solution uses a support vector classifier model trained using the precomputed features ranging from longest common sub-string and sub sequences to word similarity based on lexical and semantic resources. The scope of this project is to tackle the short text similarity classification problem by applying Natural Language Processing techniques. The approach and methodologies used in this paper can be further extended to implement automatic short answer grading systems, essay grading system and textual entailment detection problems as well.