Differential evolution-based feature selection technique for anaphora resolution
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| 001 | 605470278 | ||
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| 005 | 20210128100327.0 | ||
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| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1397-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1397-3 | ||
| 245 | 0 | 0 | |a Differential evolution-based feature selection technique for anaphora resolution |h [Elektronische Daten] |c [Utpal Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio] |
| 520 | 3 | |a In this paper a differential evolution (DE)-based feature selection technique is developed for anaphora resolution in a resource-poor language, namely Bengali. We discuss the issues of adapting a state-of-the-art English anaphora resolution system for a resource-poor language like Bengali. Performance of any anaphoric resolver greatly depends on the quality of a high accurate mention detector and the use of appropriate features for anaphora resolution. We develop a number of models for mention detection based on machine learning and heuristics. In anaphora resolution there is no globally accepted metric for measuring the performance, and each of them such as MUC, $$\hbox {B}^{3}$$ B 3 , CEAF, Blanc exhibit significantly different behaviors. Our proposed feature selection technique determines the near-optimal feature set by optimizing each of these evaluation metrics. Experiments show how a language-dependent system (designed primarily for English) can attain reasonably good performance level when re-trained and tested on a new language with a proper subset of features. Evaluation results yield the F-measure values of 66.70, 59.47, 51.56, 33.08 and 72.75% for MUC, B 3, CEAFM, CEAFE and BLANC, respectively. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Anaphora resolution |2 nationallicence | |
| 690 | 7 | |a Differential evolution |2 nationallicence | |
| 690 | 7 | |a Feature selection |2 nationallicence | |
| 690 | 7 | |a CRF |2 nationallicence | |
| 690 | 7 | |a BART |2 nationallicence | |
| 690 | 7 | |a Bengali |2 nationallicence | |
| 700 | 1 | |a Sikdar |D Utpal |u Department of Computer Science and Engineering, IIT Patna, Patna, India |4 aut | |
| 700 | 1 | |a Ekbal |D Asif |u Department of Computer Science and Engineering, IIT Patna, Patna, India |4 aut | |
| 700 | 1 | |a Saha |D Sriparna |u Department of Computer Science and Engineering, IIT Patna, Patna, India |4 aut | |
| 700 | 1 | |a Uryupina |D Olga |u Center for Mind/Brain Sciences, University of Trento, Trento, Italy |4 aut | |
| 700 | 1 | |a Poesio |D Massimo |u School of Computing and Electronic Engineering, University of Essex, Colchester, UK |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/8(2015-08-01), 2149-2161 |x 1432-7643 |q 19:8<2149 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1397-3 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1397-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sikdar |D Utpal |u Department of Computer Science and Engineering, IIT Patna, Patna, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ekbal |D Asif |u Department of Computer Science and Engineering, IIT Patna, Patna, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Saha |D Sriparna |u Department of Computer Science and Engineering, IIT Patna, Patna, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Uryupina |D Olga |u Center for Mind/Brain Sciences, University of Trento, Trento, Italy |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Poesio |D Massimo |u School of Computing and Electronic Engineering, University of Essex, Colchester, UK |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/8(2015-08-01), 2149-2161 |x 1432-7643 |q 19:8<2149 |1 2015 |2 19 |o 500 | ||