Abstract
We have presented a robust anaphora resolution system for Tamil, one of Indian languages belonging to Dravidian language family. We have used Conditional Random Fields (CRFs), a machine learning technique with linguistically motivated features. We have performed exhaustive experiments using data from different genres and domains and evaluated for portability and scalability. We have obtained an average accuracy of 64.83% across texts of different domains/genres. The results obtained are encouraging and comparable with earlier reported works.
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Akilandeswari, A., Lalitha Devi, S. (2014). Anaphora Resolution in Tamil Novels. In: Prasath, R., O’Reilly, P., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8891. Springer, Cham. https://doi.org/10.1007/978-3-319-13817-6_26
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DOI: https://doi.org/10.1007/978-3-319-13817-6_26
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