NDLI: Use of Web Popularity on Entity Centric Document Filtering

Content Provider	IEEE Xplore Digital Library
Author	Bouvier, V. Bellot, P.
Copyright Year	2015
Description	Author affiliation: Kware, Aix-en-Provence, France (Bouvier, V.) \|\| LSIS, Aix-Marseille Univ., Marseille, France (Bellot, P.)
Abstract	Filtering pages about an entity (person, company, music band...) so that only interesting pages are kept is a real challenge. The interest can be qualified using criteria such as recency, novelty. In the last decade, we have seen classification systems trained to detect the interest for a document regarding an entity. For scalability reasons, it is not possible to consider a manual annotation of a training set for each tracked entity. Some approaches strive to build entity independent systems. These approaches obtain the state of the art performances, but we show that they can be improved. Time features differ from one entity to another, therefore no relevant statistics can be estimated out of these observations by a single classifier. Instead of having one model per entity or one model for all entities, we propose an approach that uses one model per cluster of entities based on the entity web popularity. We also introduce different strategies for automatic classification model selection. We test our approach on the Knowledge Base Acceleration (KBA) framework from TREC and we show that our approach brings significant improvements over a non-cluster-based method.
Sponsorship	IEEE Comput. Soc.
Starting Page	268
Ending Page	275
File Size	1432647
Page Count	8
File Format	PDF
e-ISBN	9781467396189
DOI	10.1109/WI-IAT.2015.211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Computational modeling Time series analysis Training data entity popularity Feature extraction KBA Yttrium classification Elbow filtering
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
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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

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