conference paper · International Conference on Natural Language Processing and Knowledge Engineering (NLPKE) · 2010
Semantic role labeling for Bengali using 5Ws
Amitava Das, Aniruddha Ghosh, Sivaji Bandyopadhyay
Cited by 6Abstract and details only
Abstract
In this paper we present different methodologies to extract semantic role labels of Bengali nouns using 5W distilling. The 5W task seeks to extract the semantic information of nouns in a natural language sentence by distilling it into the answers to the 5W questions: Who, What, When, Where and Why. As Bengali is a resource constraint language, the building of annotated gold standard corpus and acquisition of linguistics tools for features extraction are described in this paper. The tag label wise reported precision values of the present system are: 79.56% (Who), 65.45% (What), 73.35% (When), 77.66% (Where) and 63.50% (Why).
Cite this paper
Das, A., Ghosh, A., & Bandyopadhyay, S. (2010). Semantic role labeling for Bengali using 5Ws. International Conference on Natural Language Processing and Knowledge Engineering (NLPKE), 67, 1–8. https://doi.org/10.1109/nlpke.2010.5587772
Das, Amitava, et al. “Semantic role labeling for Bengali using 5Ws.” International Conference on Natural Language Processing and Knowledge Engineering (NLPKE), vol. 67, 2010, pp. 1–8, https://doi.org/10.1109/nlpke.2010.5587772.
Das, Amitava, Aniruddha Ghosh, and Sivaji Bandyopadhyay. 2010. “Semantic role labeling for Bengali using 5Ws.” International Conference on Natural Language Processing and Knowledge Engineering (NLPKE) 67: 1–8. https://doi.org/10.1109/nlpke.2010.5587772.
Das, A., Ghosh, A. and Bandyopadhyay, S. (2010) ‘Semantic role labeling for Bengali using 5Ws’, International Conference on Natural Language Processing and Knowledge Engineering (NLPKE), 67, pp. 1–8. Available at: https://doi.org/10.1109/nlpke.2010.5587772.
@article{das2010semantic,
title = {{Semantic role labeling for Bengali using 5Ws}},
author = {Das, Amitava and Ghosh, Aniruddha and Bandyopadhyay, Sivaji},
journal = {International Conference on Natural Language Processing and Knowledge Engineering (NLPKE)},
volume = {67},
pages = {1--8},
year = {2010},
doi = {10.1109/nlpke.2010.5587772}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.