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1
Textual Variations Affect Human Judgements of Sentiment Values
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2
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification ...
NAACL 2021 2021; Barnes, Jeremy; Moore, Andrew. - : Underline Science Inc., 2021
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3
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
Moore, Andrew; Barnes, Jeremy. - : Association for Computational Linguistics, 2021
BASE
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4
Empirical Evaluation Methodology for Target Dependent Sentiment Analysis
Moore, Andrew. - : Lancaster University, 2021
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5
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification ...
Moore, Andrew; Barnes, Jeremy. - : arXiv, 2020
BASE
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6
FIESTA:Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
Moss, Henry B.; Moore, Andrew; Leslie, David S.. - : Association for Computational Linguistics, 2019
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7
Towards a Multilingual Financial Narrative Processing System
BASE
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8
Bringing replication and reproduction together with generalisability in NLP:Three reproduction studies for Target Dependent Sentiment Analysis
Moore, Andrew; Rayson, Paul Edward. - : Association for Computational Linguistics, 2018
BASE
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9
Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter:predicting sentiment from financial news headlines
Moore, Andrew; Rayson, Paul Edward. - : Association for Computational Linguistics, 2017
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10
Towards Interactive Multidimensional Visualisations for Corpus Linguistics
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11
Domain adaptation using stock market prices to refine sentiment dictionaries
Moore, Andrew; Rayson, Paul Edward; Young, Steven Eric. - : European Language Resources Association (ELRA), 2016
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