NDLI: Learning a Flexible Question Classifier

Content Provider	IEEE Xplore Digital Library
Author	Peng Huang Jiajun Bu Chun Chen Guang Qiu Lijun Zhang
Copyright Year	2007
Description	Author affiliation: Zhejiang Univ., Huangzhou (Peng Huang; Jiajun Bu; Chun Chen; Guang Qiu; Lijun Zhang)
Abstract	To generate high quality answers, many question taxonomies designed for modern question answering systems are getting more and more complex and fine-grained. Furthermore, without concrete context some questions are ambiguous and are difficult to be correctly labeled by question classifier, even by people manually. All above bring a big challenge to current question classifiers. However, previous research seldom pays attention to these situations above. In general, the labeled question dataset is usually small, so a feasible solution to these issues is to integrate new feedbacks and certain domain-specific knowledge into current model continuously. In this paper we explore the application of an online learning algorithm to question classification. The experimental results show that the performance of our approach is comparable to other popular learning algorithms: SVMs and SNoW. Furthermore, we evaluate our approach on ambiguous questions and the results prove its feasibility and efficiency.
Starting Page	1608
Ending Page	1613
File Size	231296
Page Count	6
File Format	PDF
ISBN	0769530389
DOI	10.1109/ICCIT.2007.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Snow Taxonomy Feedback Machine learning Educational institutions Natural language processing Concrete Information technology Classification tree analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in