NDLI: Clause Identification Using Entropy Guided Transformation Learning

Content Provider	IEEE Xplore Digital Library
Author	Fernandes, E.R. Pires, B.A. dos Santos, C.N. Milidiú, R.L.
Copyright Year	2009
Abstract	Entropy Guided Transformation Learning (ETL) is a machine learning strategy that extends Transformation Based Learning by providing automatic template generation. In this work, we propose an ETL approach to the clause identification task. We use the English language corpus of the CoNLL'2001 shared task. The achieved performance is not competitive yet, since the F1 of the ETL based system is 80.55, whereas the state-of-the-art system performance is 85.03. Nevertheless, our modeling strategy is very simple, when compared to the state-of-the-art approaches. These first findings indicate that the ETL approach is a promising one for this task. One can enhance its performance by incorporating problem specific knowledge. Additional features can be easily introduced in the ETL model.
Starting Page	117
Ending Page	124
File Size	454040
Page Count	8
File Format	PDF
ISBN	9781424460083
e-ISBN	9781424460090
DOI	10.1109/STIL.2009.10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-08
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CoNLL'2001 corpus Natural languages Humans Natural Language Processing Clause Identification Entropy Machine Learning Filters System performance Machine learning Gain measurement Entropy Guided Transformation Learning Natural language processing Dynamic programming Labeling
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
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