Abstract : A generation system can only be as good as the data it is trained on. In this short paper , we propose a methodology for analysing data-to-text corpora used for training micro-planner i.e., systems which given some input must produce a text verbalising exactly this input. We apply this methodology to three existing benchmarks and we elicite a set of criteria for the creation of a data-to-text benchmark which could help better support the development , evaluation and comparison of linguistically sophisticated data-to-text generators.
Type de document :
Communication dans un congrès
The 10th International Natural Language Generation conference., Sep 2017, Santiago de Compostelle, Spain
https://hal.inria.fr/hal-01623832
Contributeur : Claire Gardent
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Soumis le : mercredi 25 octobre 2017 - 17:01:35
Dernière modification le : mardi 18 décembre 2018 - 16:38:02
Document(s) archivé(s) le : vendredi 26 janvier 2018 - 15:13:02
Laura Perez-Beltrachini, Claire Gardent. Analysing Data-To-Text Generation Benchmarks. The 10th International Natural Language Generation conference., Sep 2017, Santiago de Compostelle, Spain. 〈hal-01623832〉
