# A Novel Architecture For Question Classification Based Indexing Scheme For Efficient Question Answering

Source: [A Novel Architecture For Question Classification Based Indexing Scheme For Efficient Question Answering](<https://www.sota2.com/research/paper/68fa60f81e209131ce9f210b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T19:50:34.295Z

Authors: Renu Mudgal, Rosy Madaan, A.K.Sharma, Ashutosh Dixit

Published: 2013-07-26T06:57:37.000Z

## Abstract

Question answering system can be seen as the next step in information retrieval, allowing users to pose question in natural language and receive compact answers. For the Question answering system to be successful, research has shown that the correct classification of question with respect to the expected answer type is requisite. We propose a novel architecture for question classification and searching in the index, maintained on the basis of expected answer types, for efficient question answering. The system uses the criteria for Answer Relevance Score for finding the relevance of each answer returned by the system. On analysis of the proposed system, it has been found that the system has shown promising results than the existing systems based on question classification.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1307.6937>)

[PDF](<https://arxiv.org/pdf/1307.6937.pdf>)