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ORCIDAndrew Moore 0001
Person information
- affiliation: Lancaster University, UK
Other persons with the same name
- Andrew Moore — disambiguation page
- Andrew Moore 0002 — California Institute of Technology, Pasadena, CA, USA
- Andrew Moore 0003 — University of Oklahoma, Norman, OK, USA
- Andrew Moore 0005 — University of Santa Cruz, Santa Cruz, CA, USA
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Books and Theses
- 2021
[b1]Andrew Moore
:
Empirical evaluation methodology for target dependent sentiment analysis. Lancaster University, UK, 2021
Journal Articles
- 2022
- [j2]Phoey Lee Teh, Paul Rayson, Irina Pak, Scott Piao, Jessica Sze Yin Ho, Andrew Moore, Yu-N Cheah:
Textual variations affect human judgements of sentiment values. Electron. Commer. Res. Appl. 53: 101149 (2022) - 2016
- [j1]Paul Rayson, John Mariani, Bryce Anderson-Cooper, Alistair Baron, David Gullick, Andrew Moore, Stephen Wattam:
Towards Interactive Multidimensional Visualisations for Corpus Linguistics. J. Lang. Technol. Comput. Linguistics 31(1): 27-49 (2016)
Conference and Workshop Papers
- 2019
- [c4]Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson:
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. ACL (1) 2019: 2920-2930 - 2018
- [c3]Andrew Moore, Paul Rayson:
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis. COLING 2018: 1132-1144 - 2017
- [c2]Andrew Moore, Paul Rayson:
Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines. SemEval@ACL 2017: 581-585 - 2016
- [c1]Mahmoud El-Haj, Paul Rayson, Steven Young, Andrew Moore, Martin Walker, Thomas Schleicher, Vasiliki Athanasakou:
Learning Tone and Attribution for Financial Text Mining. LREC 2016
Data and Artifacts
- 2021
- [d1]Phoey Lee Teh, Paul Rayson, Scott Piao, Andrew Moore:
Textual Variations Affect Human Judgements of Sentiment Values. IEEE DataPort, 2021
Informal and Other Publications
- 2019
- [i3]Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson:
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. CoRR abs/1906.12230 (2019) - 2018
- [i2]Andrew Moore, Paul Rayson:
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis. CoRR abs/1806.05219 (2018) - 2017
- [i1]Andrew Moore, Paul Rayson:
Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines. CoRR abs/1705.00571 (2017)
Coauthor Index
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