Modelling Pro-drop with the Rational Speech Acts Model
Publication date
2018-11-05
Authors
Chen, Guanyi
van Deemter, Kees
Lin, Chenghua
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Abstract
We extend the classic Referring Expressions Generation task by considering zero pronouns in pro-drop languages such as Chinese, modelling their use by means of the Bayesian Rational Speech Acts model. By assuming that highly salient referents are most likely to be referred to by zero pronouns (i.e., pro-drop is more likely for salient referents than the less salient ones), the model offers an attractive explanation of a phenomenon not previously addressed probabilistically.
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Chen, G, van Deemter, C J & Lin, C 2018, Modelling Pro-drop with the Rational Speech Acts Model. in Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics, Tilburg University, The Netherlands, pp. 57–66. https://doi.org/10.18653/v1/W18-6519