Abstract
This paper presents a maximum entropy based method for determining honorific identities of personal nouns in Bengali. Later this information is used for pronoun (anaphora) resolution system for Bengali as honorificity plays an important role for pronominal anaphora resolution in Bengali. Experiment has done on a publicly available dataset. Experimental result shows that when the module for honorific identification is added to the existing pronoun resolution system, the accuracy (avg. F1-score) of the system is improved from 0.602 to 0.703 and this improvement is shown to be statistically significant.
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Senapati, A., Garain, U. (2014). A Maximum Entropy Based Honorificity Identification for Bengali Pronominal Anaphora Resolution . In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54906-9_26
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DOI: https://doi.org/10.1007/978-3-642-54906-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54905-2
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