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ORCIDDavid M. Howcroft
Person information
- affiliation: Edinburgh Napier University, UK
- affiliation (former): Heriot-Watt University, UK
- affiliation (former): Saarland University, Germany
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2020 – today
- 2023
[c14]Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia, Yi-Ling Chung, Yufang Hou, Chris Chinenye Emezue, Pawan Rajpoot, Tosin P. Adewumi:
LOWRECORP: the Low-Resource NLG Corpus Building Challenge. INLG (Generation Challenges) 2023: 1-9- [c13]David M. Howcroft, William Lamb, Anna Groundwater, Dimitra Gkatzia:
Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic). INLG 2023: 443-448 - 2021
- [c12]Karin Sevegnani, David M. Howcroft
, Ioannis Konstas, Verena Rieser:
OTTers: One-turn Topic Transitions for Open-Domain Dialogue. ACL/IJCNLP (1) 2021: 2492-2504 - [c11]David M. Howcroft, Verena Rieser:
What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think. EMNLP (1) 2021: 8932-8939 - [i2]Karin Sevegnani, David M. Howcroft, Ioannis Konstas, Verena Rieser:
OTTers: One-turn Topic Transitions for Open-Domain Dialogue. CoRR abs/2105.13710 (2021) - 2020
- [c10]David M. Howcroft, Anya Belz, Miruna-Adriana Clinciu, Dimitra Gkatzia, Sadid A Hasan, Saad Mahamood, Simon Mille, Emiel van Miltenburg, Sashank Santhanam, Verena Rieser:
Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions. INLG 2020: 169-182 - [c9]Anya Belz, Simon Mille, David M. Howcroft:
Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing. INLG 2020: 183-194
2010 – 2019
- 2019
- [c8]Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. INLG 2019: 421-426 - [i1]Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. CoRR abs/1911.03905 (2019) - 2018
- [c7]David M. Howcroft, Dietrich Klakow, Vera Demberg:
Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning. INLG 2018: 391-396 - 2017
- [c6]David M. Howcroft, Vera Demberg:
Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking. EACL (1) 2017: 958-968 - [c5]David M. Howcroft, Jorrig Vogels, Vera Demberg:
G-TUNA: a corpus of referring expressions in German, including duration information. INLG 2017: 149-153 - [c4]David M. Howcroft, Dietrich Klakow, Vera Demberg:
The Extended SPaRKy Restaurant Corpus: Designing a Corpus with Variable Information Density. INTERSPEECH 2017: 3757-3761 - 2016
- [j1]Vera Demberg, Jörg Hoffmann, David M. Howcroft, Dietrich Klakow, Álvaro Torralba:
Search Challenges in Natural Language Generation with Complex Optimization Objectives. Künstliche Intell. 30(1): 63-69 (2016) - [c3]Maximilian Schwenger, Álvaro Torralba, Jörg Hoffmann, David M. Howcroft, Vera Demberg:
From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation. COLING 2016: 1524-1534 - 2015
- [c2]Michael White, David M. Howcroft:
Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus. ENLG 2015: 28-37 - 2013
- [c1]David M. Howcroft, Crystal Nakatsu, Michael White:
Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus. ENLG 2013: 30-39
Coauthor Index
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