NDLI: Case based Indonesian closed domain question answering system with real world questions

Content Provider	IEEE Xplore Digital Library
Author	Fikri, A. Purwarianti, A.
Copyright Year	2012
Description	Author affiliation: School of Electrical Engineering and Informatics, Institut Teknologi Bandung (ITB), Bandung, Indonesia (Fikri, A.; Purwarianti, A.)
Abstract	Number of people having expertise in a certain domain is less than people who need information in that domain. In this situation, an automatic question answering (QA) system is necessary. Observing available manual QA sites on internet, the real world question that people usually ask have different expected answer type (EAT) compared to a common automatic QA. Addressing a case study of a religion domain which makes it a closed domain QA, we proposed the EAT into 6 types: LAW, DEFINITION, COMPARISON, METHOD, TIME and PERSON. Different with common QA approach, we built the QA system using case based approach which consists of two main components: Question Analyzer and Case Retriever. Related with the case based reasoning (CBR) framework, these two main components act as the Retrieve and Reuse process while the Revise and Retain process is handle by Case Retainer component. The QA system was built using available Indonesian Natural Language Processing (NLP) tools and FreeCBR as the CBR library. The experiments were done to calculate the accuracy and testing the system with unknown case. By using 77 cases collected from internet with assumption that all answers are available, the experiments achieved 97% accuracy. And by using 10 test cases for the unknown case, the similarity score calculated by the system showed that the test questions have no answer in the available case base.
Starting Page	181
Ending Page	186
File Size	1314094
Page Count	6
File Format	PDF
ISBN	9781467345491
e-ISBN	9781467345507
DOI	10.1109/TSSA.2012.6366047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real World Questions Closed Domain Accuracy Semantics Cognition Question Answering System Telecommunications Internet Equations Case Based Reasoning
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

Research and implementation of automatic question answering system based on ontology

Closed Domain Question Answering using Fuzzy Semantics (2006)

Closed domain question answering using fuzzy semantics (2006).

Enhanced Knowledge Discovery Approach in Textual Case Based Reasoning

Answering questions with authority

Implementing commonsense reasoning via semantic skeletons for answering complex questions.

YAGO-QA: Answering Questions by Structured Knowledge Queries

Personalized question answering: a use case for business analysis.

An Integrated Machine Learning and Case-Based Reasoning Approach to Answer Validation

Case based Indonesian closed domain question answering system with real world questions

Similar Documents

Research and implementation of automatic question answering system based on ontology

Closed Domain Question Answering using Fuzzy Semantics (2006)

Closed domain question answering using fuzzy semantics (2006).

Enhanced Knowledge Discovery Approach in Textual Case Based Reasoning

Answering questions with authority

Implementing commonsense reasoning via semantic skeletons for answering complex questions.

YAGO-QA: Answering Questions by Structured Knowledge Queries

Personalized question answering: a use case for business analysis.

An Integrated Machine Learning and Case-Based Reasoning Approach to Answer Validation

Case based Indonesian closed domain question answering system with real world questions