David M. Howcroft

Orcid: 0000-0002-0810-9065

Affiliations:
  • Edinburgh Napier University, UK
  • Heriot-Watt University, UK (former)
  • Saarland University, Germany (former)


According to our database1, David M. Howcroft authored at least 17 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices.
Proceedings of the 17th International Natural Language Generation Conference, 2024

Exploring the impact of data representation on neural data-to-text generation.
Proceedings of the 17th International Natural Language Generation Conference, 2024

2023
Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic).
Proceedings of the 16th International Natural Language Generation Conference, 2023

LOWRECORP: the Low-Resource NLG Corpus Building Challenge.
Proceedings of the 16th International Natural Language Generation Conference, 2023

2021
What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

OTTers: One-turn Topic Transitions for Open-Domain Dialogue.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

2019
Semantic Noise Matters for Neural Natural Language Generation.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

2018
Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

2017
The Extended SPaRKy Restaurant Corpus: Designing a Corpus with Variable Information Density.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

G-TUNA: a corpus of referring expressions in German, including duration information.
Proceedings of the 10th International Conference on Natural Language Generation, 2017

Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Search Challenges in Natural Language Generation with Complex Optimization Objectives.
Künstliche Intell., 2016

From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation.
Proceedings of the COLING 2016, 2016

2015
Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus.
Proceedings of the ENLG 2015, 2015

2013
Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus.
Proceedings of the ENLG 2013, 2013


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