سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Designing a Question Answering System by Providing a Hybrid Method for Answer Ranking

Publish Year: 1395
Type: Conference paper
Language: English
View: 866

This Paper With 9 Page And PDF Format Ready To Download

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

Export:

Link to this Paper:

Document National Code:

ICESCON03_331

Index date: 6 September 2016

Designing a Question Answering System by Providing a Hybrid Method for Answer Ranking abstract

New information technology and Internet services are facing with the growing problem of selection and management of text information. Question answering system is a solution for identifying the correct answer among a wide range of documents. This article proposed a method for ranking answers based on a hybrid method for QA systems. In the section of answers processing, different features such as statistical features, semantic features and syntactic features are extracted for training and testing of the SVM classifier. Finally, based on the answers found to a question occurring in what category and what the final score would be based on the calculated scores of features, the answers will be rated. The answers with higher priority are provided to the user as the correct ones. The mean reciprocal rank measure was used for assessing the system. This measure with the value of 0.693 indicates a good performance of the proposed method. The high percentage of system accuracy also represents the acceptable performance of the system

Designing a Question Answering System by Providing a Hybrid Method for Answer Ranking Keywords:

Designing a Question Answering System by Providing a Hybrid Method for Answer Ranking authors

Samira Bakhtiar Ghale Taki

Bu-Ali Sina University, Hamadan, Iran

Mir Hussein Dezfoulian

Bu-Ali Sina University, Hamadan, Iran

Muharram Mansoorizadeh

Bu-Ali Sina University, Hamadan, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
Arita, T., Shishibori, M., Aoe, J.I. (1998) " An efficient ...
Fukumoto, Junichi. , Aburai, Noriaki. and Yamanishi, Ryosuke . (2013) ...
Gonzalez, Antonio J., Valero, Alberto T., Carral, Claudia D., Manuel, ...
Heie, Matthias H., Whittaker , Edward W.D., Furui, Sadaoki. (2012) ...
Hyo-Jung, Oh., Ki-Youn, Sung., Myung-Gil, Jang. and Sung Hyon, Myaeng. ...
Kyoung-Soo, Han., Young-In, Song., Sang-Bum, Kim., Hae-Chang, Rim. (2007) " ...
Lin, Jimmy. (2007) " An exploration of the principles underlying ...
Prager, J., Chu-Carroll, J. Czuba, K., Welty, C., Ittycheriah, A., ...
Pum-Mo, Ryu, Myung-Gil, Jang., Hyun-Ki, Kim. (2014) "Open domain question ...
Renxu, Sun., Jiang, Jing., Tan, Yee Fan., Cui, Hang., Chua, ...
Rich, Elaine. And Knight, Kelvin. (2006) "Artificial Intelligence", McGraw hill ...
Sinha, Steven. and Narayanan, Srini. (2005) "Model-based _ selection." Proceedings ...
Show-Jane, Yen. , Yu-Chieh, Wub., Jie-Chi, Yang., Yue-Shi, Lee., Chung-Jung, ...
Xu, J., Licuanan, A., May, J., Miller, S. and Weischedel ...
Voorhees, Ellen M. (2003) _ Overview _ 2003 question answering ...
نمایش کامل مراجع