Creating Training Corpora for NLG Micro-Planners

@inproceedings{Gardent2017CreatingTC,
  title={Creating Training Corpora for NLG Micro-Planners},
  author={Claire Gardent and Anastasia Shimorina and Shashi Narayan and Laura Perez-Beltrachini},
  booktitle={ACL},
  year={2017}
}
In this paper, we focus on how to create data-to-text corpora which can support the learning of wide-coverage micro-planners i.e., generation systems that handle lexicalisation, aggregation, surface re-alisation, sentence segmentation and referring expression generation. We start by reviewing common practice in designing training benchmarks for Natural Language Generation. We then present a novel framework for semi-automatically creating linguistically challenging NLG corpora from existing… Expand
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References

SHOWING 1-10 OF 23 REFERENCES
Imitation learning for language generation from unaligned data
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
Neural Text Generation from Structured Data with Application to the Biography Domain
DBpedia: A Multilingual Cross-domain Knowledge Base
Grammar as a Foreign Language
...
1
2
3
...