NDLI: Combining linguistic and structural descriptors for mining biomedical literature

Content Provider	ACM Digital Library
Author	Zerida, Nadia Lucas, Nadine Crémilleux, Bruno
Abstract	This work proposes an original combination of linguistic and structural descriptors to represent the content of biomedical papers. The objective is to show the effectiveness of descriptors taking into account the structure of documents to characterise three kinds of biomedical texts (reviews, research and clinical papers). The description of text is made at various levels, from the global level to the local one. The contexts makes it possible to characterise the three classes. The characterisation of the textual resources is carried out quantitatively by using the discriminating capacity of techniques of data mining based on emerging patterns.
Starting Page	62
Ending Page	64
Page Count	3
File Format	PDF
ISBN	1595935150
DOI	10.1145/1166160.1166180
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-10-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Categorisation Characterisation Text mining preprocessing
Content Type	Text
Resource Type	Article

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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
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Combining linguistic and structural descriptors for mining biomedical literature