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1
Formalising Concepts as Grounded Abstractions ...
BASE
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2
Grounded Language Learning Fast and Slow ...
BASE
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3
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input ...
BASE
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4
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing ...
Maillard, Jean; Clark, Stephen. - : arXiv, 2018
BASE
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5
Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns ...
Anderson, AJ; Kiela, Douwe; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2017
BASE
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6
Modelling metaphor with attribute-based semantics
Bulat, L; Clark, Stephen; Shutova, Ekaterina. - : Association for Computational Linguistics, 2017. : Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
BASE
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7
Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research ...
BASE
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8
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics ...
Kiela, D; Vero, Anita; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2016
BASE
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9
Multi-Modal Representations for Improved Bilingual Lexicon Learning ...
Vulić, I; Kiela, D; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2016
BASE
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10
Multi-Modal Representations for Improved Bilingual Lexicon Learning
Vulić, I; Kiela, D; Clark, Stephen. - : Association for Computational Linguistics, 2016. : http://acl2016.org/, 2016. : Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
BASE
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11
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Kiela, D; Vero, Anita; Clark, Stephen. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
BASE
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12
RELPRON: A Relative Clause Evaluation Dataset for Compositional Distributional Semantics
Rimell, Laura; Maillard, Jean; Polajnar, Tamara. - : MIT Press, 2016. : Computational Linguistics, 2016
BASE
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13
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps
Bulat, L; Kiela, D; Clark, Stephen. - : Association for Computational Linguistics, 2016. : http://www.aclweb.org/anthology/N/N16/, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
BASE
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14
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks
Xu, W; Auli, M; Clark, Stephen. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
BASE
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15
Using Sentence Plausibility to Learn the Semantics of Transitive Verbs ...
BASE
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16
The Frobenius anatomy of word meanings I: subject and object relative pronouns ...
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17
Participant Reference in Narrative Discourse: A Comparison of Three Methodologies
Clark, Stephen. - : SIL International, 2012
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18
Concrete Sentence Spaces for Compositional Distributional Models of Meaning ...
BASE
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19
Mathematical foundations for a compositional distributional model of meaning
In: Linguistic analysis. - Vashon Island, Wash. : Linguistic Analysis 36 (2006) 1-4, 345-384
BLLDB
OLC Linguistik
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20
Faster parsing by supertagger adaptation
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 345-355
BLLDB
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