David M Howcroft
Title
Cited by
Cited by
Year
Enhancing the expression of contrast in the SPaRKy Restaurant Corpus
DM Howcroft, C Nakatsu, M White
Proceedings of the 14th European Workshop on Natural Language Generation, 30-39, 2013
172013
Semantic Noise Matters for Neural Natural Language Generation
O Dušek, DM Howcroft, V Rieser
Proc. of the 12th International Conference on Natural Language Generation …, 2019
112019
Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking
DM Howcroft, V Demberg
Proc. of the 15th Conference of the European Chapter of the Association for …, 2017
92017
Search challenges in natural language generation with complex optimization objectives
V Demberg, J Hoffmann, DM Howcroft, D Klakow, Á Torralba
KI-Künstliche Intelligenz 30 (1), 63-69, 2016
62016
G-TUNA: a corpus of referring expressions in German, including duration information
D Howcroft, J Vogels, V Demberg
Proceedings of the 10th International Conference on Natural Language …, 2017
42017
From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation
M Schwenger, A Torralba, J Hoffmann, DM Howcroft, V Demberg
International Conference on Computational Linguistics, 2016
42016
How speakers adapt object descriptions to listeners under load
J Vogels, DM Howcroft, E Tourtouri, V Demberg
Language, Cognition and Neuroscience 35 (1), 78-92, 2020
32020
Inducing clause-combining rules: A case study with the sparky restaurant corpus
M White, DM Howcroft
Proceedings of the 15th European Workshop on Natural Language Generation …, 2015
32015
The Extended SPaRKy Restaurant Corpus: designing a corpus with variable information density
DM Howcroft, D Klakow, V Demberg, SI Campus
Proc. Interspeech 2017, 3757-3761, 2017
22017
Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning
DM Howcroft, D Klakow, V Demberg
Proceedings of the 11th International Conference on Natural Language …, 2018
12018
Ranking sentences by complexity
D Howcroft
Master’s thesis, Saarland University, 2015
12015
Using AI Planning Techniques in OpenCCG: Detecting Infeasible Composites in Sentence Generation
M Schwenger, A Torralba, J Hoffmann, D Howcroft, V Demberg
30. PuK-Workshop: Planen/Scheduling und Konfigurieren/Entwerfen, KI 2016 …, 2016
2016
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