TY - CHAP

T1 - Clause identification using entropy guided transformation learning

AU - Fernandes, Eraldo R.

AU - Pires, Bernardo A.

AU - dos Santos, Cícero N.

AU - Milidiú, Ruy L.

N1 - Conference code: 7

PY - 2009

Y1 - 2009

N2 - 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 F β=1 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.

AB - 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 F β=1 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.

KW - Informatics

KW - Entropy guided transformation learning

KW - clause identification

KW - machine learning

KW - CoNLL'2001 corpus

KW - natural language processing

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=77955941946&partnerID=8YFLogxK

U2 - 10.1109/STIL.2009.10

DO - 10.1109/STIL.2009.10

M3 - Article in conference proceedings

AN - SCOPUS:77955941946

SN - 978-1-4244-6008-3

SP - 117

EP - 124

BT - 2009 Seventh Brazilian Symposium in Information and Human Language Technology, STIL 2009

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

T2 - 7th Brazilian Symposium in Information and Human Language Technology, STIL 2009

Y2 - 8 September 2009 through 11 September 2009

ER -