Abstract
Building complete anaphora resolution systems that incorporate all linguistic information is difficult because of the complexities of languages. In the case of Amharic, it is even more difficult because of its complex morphology. In addition to independent anaphors, Amharic has anaphors embedded inside words (hidden anaphors). In this paper, we propose Amharic anaphora resolution system that also treats hidden anaphors, in addition to independent ones. Hidden anaphors are extracted using Amharic morphological analyzer. After anaphoric terms are identified, their relationships with antecedents are built by making use of the grammatical structure of the language along with constraint and preference rules. The system is developed based on knowledge-poor approach in the sense that we use low levels of linguistic knowledge like morphology avoiding the need of complex knowledge like semantics, world knowledge and others. The performance of the system is evaluated using 10-fold cross validation technique and experimental results are reported.
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Dawit, T., Assabie, Y. (2014). Amharic Anaphora Resolution Using Knowledge-Poor Approach. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_29
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DOI: https://doi.org/10.1007/978-3-319-10888-9_29
Publisher Name: Springer, Cham
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