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- W2893800606 abstract "This paper describes the submission by the NILC Computational Linguistics research group of the University of Sao Paulo/Brazil to the Track 1 of the Surface Realization Shared Task (SRST Track 1). We present a neural-based method that works at the syntactic level to order the words (which we refer by NILC-SWORNEMO, standing for “Syntax-based Word ORdering using NEural MOdels”). Additionally, we apply a bottom-up approach to build the sentence and, using language-specific lexicons, we produce the proper word form of each lemma in the sentence. The results obtained by our method outperformed the average of the results for English, Portuguese and Spanish in the track." @default.
- W2893800606 created "2018-10-05" @default.
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- W2893800606 date "2018-01-01" @default.
- W2893800606 modified "2023-09-26" @default.
- W2893800606 title "NILC-SWORNEMO at the Surface Realization Shared Task: Exploring Syntax-Based Word Ordering using Neural Models" @default.
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- W2893800606 doi "https://doi.org/10.18653/v1/w18-3608" @default.
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