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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 Hits 1 – 9 of 9 1 Improving Intrinsic Exploration with Language Abstractions ... Mu, Jesse; Zhong, Victor; Raileanu, Roberta. - : arXiv, 2022 BASE Show details 2 Learning to Compose Words into Sentences with Reinforcement Learning ... Yogatama, Dani; Blunsom, Phil; Dyer, Chris. - : arXiv, 2016 BASE Show details 3 Reasoning about Entailment with Neural Attention ... Rocktäschel, Tim; Grefenstette, Edward; Hermann, Karl Moritz; Kočiský, Tomáš; Blunsom, Phil. - : arXiv, 2015 Abstract: While most approaches to automatically recognizing entailment relations have used classifiers employing hand engineered features derived from complex natural language processing pipelines, in practice their performance has been only slightly better than bag-of-word pair classifiers using only lexical similarity. The only attempt so far to build an end-to-end differentiable neural network for entailment failed to outperform such a simple similarity classifier. In this paper, we propose a neural model that reads two sentences to determine entailment using long short-term memory units. We extend this model with a word-by-word neural attention mechanism that encourages reasoning over entailments of pairs of words and phrases. Furthermore, we present a qualitative analysis of attention weights produced by this model, demonstrating such reasoning capabilities. On a large entailment dataset this model outperforms the previous best neural model and a classifier with engineered features by a substantial margin. It is ... : ICLR 2016 camera-ready, 9 pages, 10 figures (incl. subfigures) ... Keyword: 68T50; Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; I.2.6; I.2.7; Machine Learning cs.LG; Neural and Evolutionary Computing cs.NE URL: https://arxiv.org/abs/1509.06664 https://dx.doi.org/10.48550/arxiv.1509.06664 BASE Hide details 4 Quantum physics and linguistics : a compositional, diagrammatic discourse Heunen, Christiaan; Sadrzadeh, Mehrnoosh; Grefenstette, Edward. - Oxford : Oxford Univ. Press, 2013 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 5 Quantum physics and linguistics: a compositional, diagrammatic discourse Sadrzadeh, Mehrnoosh; Grefenstette, Edward; Heunen, Chris. - : Oxford University Press, 2013 BASE Show details 6 Category-theoretic quantitative compositional distributional models of natural language semantics Grefenstette, Edward Thomas; Pulman, Stephen Guy; Coecke, Bob. - 2013 BASE Show details 7 A graphical approach to measurement-based quantum computing Duncan, Ross. - : OUP, 2013 BASE Show details 8 Concrete Sentence Spaces for Compositional Distributional Models of Meaning ... Grefenstette, Edward; Sadrzadeh, Mehrnoosh; Clark, Stephen. - : arXiv, 2011 BASE Show details 9 Experimental Support for a Categorical Compositional Distributional Model of Meaning ... Grefenstette, Edward; Sadrzadeh, Mehrnoosh. - : arXiv, 2011 BASE Show details

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