Underspecified universal dependency structures as inputs for multilingual surface realisation
Mille, SimonORCID: 0000-0002-8852-2764, Belz, AnyaORCID: 0000-0002-0552-8096, Bohnet, Bernd and Wanner, LeoORCID: 0000-0002-9446-3748
(2018)
Underspecified universal dependency structures as inputs for multilingual surface realisation.
In: 11th International Conference on Natural Language Generation, 5-8 Nov 2018, Tilburg, The Netherlands.
In this paper, we present the datasets used in the Shallow and Deep Tracks of the First Multilingual Surface Realisation Shared Task (SR’18). For the Shallow Track, data in ten languages has been released: Arabic, Czech, Dutch, English, Finnish, French, Italian, Portuguese, Russian and Spanish. For the Deep Track, data in three languages is made available: English, French and Spanish. We describe in detail how the datasets were derived from the Universal Dependencies V2.0, and report on an evaluation of the Deep Track input quality. In addition, we examine the motivation for, and likely usefulness of, deriving NLG inputs from annotations in resources originally developed for Natural Language Understanding (NLU), and assess whether the resulting inputs supply enough information of the right kind for the final stage in the NLG process.
Krahmer, Emiel, Gatt, Albert and Goudbeek, Martijn, (eds.)
Proceedings of the 11th International Conference on Natural Language Generation.
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Association for Computational Linguistics (ACL).