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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 41 1 Formalising Concepts as Grounded Abstractions ... Clark, Stephen; Lerchner, Alexander; von Glehn, Tamara. - : arXiv, 2021 BASE Show details 2 Grounded Language Learning Fast and Slow ... Hill, Felix; Tieleman, Olivier; von Glehn, Tamara. - : arXiv, 2020 BASE Show details 3 Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input ... Lazaridou, Angeliki; Hermann, Karl Moritz; Tuyls, Karl. - : arXiv, 2018 BASE Show details 4 Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing ... Maillard, Jean; Clark, Stephen. - : arXiv, 2018 BASE Show details 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 Show details 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 Show details 7 Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research ... Kiela, Douwe; Bulat, Luana; Vero, Anita L.. - : arXiv, 2016 BASE Show details 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 Show details 9 Multi-Modal Representations for Improved Bilingual Lexicon Learning ... Vulić, I; Kiela, D; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2016 BASE Show details 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 Show details 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 Show details 12 RELPRON: A Relative Clause Evaluation Dataset for Compositional Distributional Semantics Rimell, Laura; Maillard, Jean; Polajnar, Tamara; Clark, Stephen. - : MIT Press, 2016. : Computational Linguistics, 2016 Abstract: This is the author accepted manuscript. The final version is available from MIT Press via http://dx.doi.org/10.1162/COLI_a_00263 ; This article introduces RELPRON, a large dataset of subject and object relative clauses, for the evaluation of methods in compositional distributional semantics. RELPRON targets an intermediate level of grammatical complexity between content-word pairs and full sentences. The task involves matching terms, such as ‘wisdom’, with representative properties, such as ‘quality that experience teaches’. A unique feature of RELPRON is that it is built from attested properties, but without the need for them to appear in relative clause format in the source corpus. The article also presents some initial experiments on RELPRON, using a variety of composition methods including simple baselines, arithmetic operators on vectors, and finally more complex methods in which argument-taking words are represented as tensors. The latter methods are based on the Categorial framework, which is described in detail. The results show that vector addition is difficult to beat — in line with the existing literature — but that an implementation of the Categorial framework based on the Practical Lexical Function model is able to match the performance of vector addition. The article finishes with an in-depth analysis of RELPRON, showing how results vary across subject and object relative clauses, across different head nouns, and how the methods perform on the subtasks necessary for capturing relative clause semantics, as well as providing a qualitative analysis highlighting some of the more common errors. Our hope is that the competitive results presented here, in which the best systems are on average ranking one out of every two properties correctly for a given term, will inspire new approaches to the RELPRON ranking task and other tasks based on linguistically interesting constructions. ; Laura Rimell and Stephen Clark were supported by EPSRC grant EP/I037512/1. Jean Maillard is supported by an EPSRC Doctoral Training Grant and a St John’s Scholarship. Laura Rimell, Tamara Polajnar and Stephen Clark are supported by ERC Starting Grant DisCoTex (306920). URL: https://doi.org/10.17863/CAM.380 https://www.repository.cam.ac.uk/handle/1810/256438 BASE Hide details 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 Show details 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 Show details 15 Using Sentence Plausibility to Learn the Semantics of Transitive Verbs ... Polajnar, Tamara; Rimell, Laura; Clark, Stephen. - : arXiv, 2014 BASE Show details 16 The Frobenius anatomy of word meanings I: subject and object relative pronouns ... Sadrzadeh, Mehrnoosh; Clark, Stephen; Coecke, Bob. - : arXiv, 2014 BASE Show details 17 Participant Reference in Narrative Discourse: A Comparison of Three Methodologies Clark, Stephen. - : SIL International, 2012 BASE Show details 18 Concrete Sentence Spaces for Compositional Distributional Models of Meaning ... Grefenstette, Edward; Sadrzadeh, Mehrnoosh; Clark, Stephen. - : arXiv, 2011 BASE Show details 19 Mathematical foundations for a compositional distributional model of meaning Sadrzadeh, Mehrnoosh; Clark, Stephen; Coecke, Bob In: Linguistic analysis. - Vashon Island, Wash. : Linguistic Analysis 36 (2006) 1-4, 345-384 BLLDB OLC Linguistik Show details 20 Faster parsing by supertagger adaptation Kummerfeld, Jonathan K.; Roesner, Jessika; Dawborn, Tim... In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 345-355 BLLDB Show details Page: 1 2 3

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