Anaphora Resolution for Bengali: An Experiment with Domain Adaptation
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| Natura: | Artículo científico |
| Lingua: | en |
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Instituto Politécnico Nacional
2013
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| _version_ | 1876449368997888000 |
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| author | Utpal Kumar Sikdar |
| author_facet | Utpal Kumar Sikdar |
| contents | Anaphora Resolution for Bengali: An Experiment with Domain Adaptation Utpal Kumar Sikdar Asif Ekbal Sriparna Saha Olga Uryupina Massimo Poesio Computación Co BART Bengali Anaphora reference resolution In this paper we present our first attempt on anaphora resolution for a resource poor language, namely Bengali. We address the issue of adapting a state-of-the-art system, BART, which was originally developed for English. Overall performance of co-reference resolution greatly depends on the high accurate mention detectors. We develop a number of models based on the heuristics used as well as on the particular machine learning employed. Thereafter we perform a series of experiments for adapting BART for Bengali. Our evaluation shows, a language-dependant system (designed primarily for English) can achieve a good performance level when re-trained and tested on a new language with proper subsets of features. The system produces the recall, precision and F-measure values of 56.00%, 46.50% and 50.80%, respectively. The contribution of this work is two-fold, viz. (i). attempt to build a machine learning based anaphora resolution system for a resource-poor Indian language; and (ii). domain adaptation of a state-of-the-art English co-reference resolution system for Bengali, which has completely different orthography and characteristics. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| format | Artículo científico |
| id | redalyc_61527437004 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Anaphora Resolution for Bengali: An Experiment with Domain Adaptation Utpal Kumar Sikdar Computación Co BART Bengali Anaphora reference resolution Anaphora Resolution for Bengali: An Experiment with Domain Adaptation Utpal Kumar Sikdar Asif Ekbal Sriparna Saha Olga Uryupina Massimo Poesio Computación Co BART Bengali Anaphora reference resolution In this paper we present our first attempt on anaphora resolution for a resource poor language, namely Bengali. We address the issue of adapting a state-of-the-art system, BART, which was originally developed for English. Overall performance of co-reference resolution greatly depends on the high accurate mention detectors. We develop a number of models based on the heuristics used as well as on the particular machine learning employed. Thereafter we perform a series of experiments for adapting BART for Bengali. Our evaluation shows, a language-dependant system (designed primarily for English) can achieve a good performance level when re-trained and tested on a new language with proper subsets of features. The system produces the recall, precision and F-measure values of 56.00%, 46.50% and 50.80%, respectively. The contribution of this work is two-fold, viz. (i). attempt to build a machine learning based anaphora resolution system for a resource-poor Indian language; and (ii). domain adaptation of a state-of-the-art English co-reference resolution system for Bengali, which has completely different orthography and characteristics. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437004 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| title | Anaphora Resolution for Bengali: An Experiment with Domain Adaptation |
| topic | Computación Co BART Bengali Anaphora reference resolution |
| url | https://www.redalyc.org/articulo.oa?id=61527437004 |