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1
Representing Syntax and Composition with Geometric Transformations ...
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2
Structure-aware sentence encoder in Bert-based siamese network
Peng, Qiwei; Weir, David; Weeds, Julie. - : Association for Computational Linguistics, 2021
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3
Representing syntax and composition with geometric transformations
Bertolini, Lorenzo; Peng, Qiwei; Weir, David. - : Association for Computational Linguistics, 2021
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4
Data Augmentation for Hypernymy Detection ...
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5
Leveraging HTML in free text web named entity recognition
Ashby, Colin; Weir, David. - : International Committee on Computational Linguistics, 2020
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6
When a red herring is not a red herring: using compositional methods to detect non-compositional phrases
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7
One representation per word - does it make sense for composition?
Reffin, Jeremy; Wilkie, John; Weeds, Julie. - : Association for Computational Linguistics, 2017
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8
Aligning Packed Dependency Trees: a theory of composition for distributional semantics ...
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9
Improving Sparse Word Representations with Distributional Inference for Semantic Composition ...
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10
A critique of word similarity as a method for evaluating distributional semantic models
Weir, David; Kober, Thomas; Weeds, Julie. - : Association for Computational Linguistics, 2016
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11
Improving sparse word representations with distributional inference for semantic composition
Weeds, Julie; Reffin, Jeremy; Kober, Thomas. - : Association for Computational Linguistics, 2016
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12
Aligning packed dependency trees: a theory of composition for distributional semantics
Kober, Thomas; Weir, David; Weeds, Julie. - : MIT Press, 2016
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13
Distributional composition using higher-order dependency vectors
Weeds, Julie; Weir, David; Reffin, Jeremy. - : Association for Computational Linguistics (ACL), 2014
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14
Method51 for mining insight from social media datasets
Weir, David; Wibberley, Simon; Reffin, Jeremy. - : Association for Computational Linguistics, 2014
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15
Learning to distinguish hypernyms and co-hyponyms
Reffin, Jeremy; Weeds, Julie; Weir, David. - : Dublin City University and Association for Computational Linguistics, 2014
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16
Learning to predict distributions of words across domains
Bollegala, Danushka; Weir, David; Carroll, John. - : The Association for Computational Linguistics, 2014
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17
Cross-domain sentiment classification using a sentiment sensitive thesaurus
Bollegala, Danushka; Weir, David; Carroll, John. - : Institute of Electrical and Electronics Engineers, 2013
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18
Language technology for agile social media science
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19
Algebraic approaches to compositional distributional semantics
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20
Dependency Parsing Schemata and Mildly Non-Projective Dependency Parsing
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