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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 – 7 of 7 1 Massively Multilingual Word Embeddings ... Ammar, Waleed; Mulcaire, George; Tsvetkov, Yulia. - : arXiv, 2016 BASE Show details 2 Many Languages, One Parser ... Ammar, Waleed; Mulcaire, George; Ballesteros, Miguel. - : arXiv, 2016 BASE Show details 3 Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ... Tsvetkov, Yulia; Sitaram, Sunayana; Faruqui, Manaal. - : arXiv, 2016 BASE Show details 4 Cross-lingual Models of Word Embeddings: An Empirical Comparison ... Upadhyay, Shyam; Faruqui, Manaal; Dyer, Chris. - : arXiv, 2016 BASE Show details 5 Learning to Compose Words into Sentences with Reinforcement Learning ... Yogatama, Dani; Blunsom, Phil; Dyer, Chris; Grefenstette, Edward; Ling, Wang. - : arXiv, 2016 Abstract: We use reinforcement learning to learn tree-structured neural networks for computing representations of natural language sentences. In contrast with prior work on tree-structured models in which the trees are either provided as input or predicted using supervision from explicit treebank annotations, the tree structures in this work are optimized to improve performance on a downstream task. Experiments demonstrate the benefit of learning task-specific composition orders, outperforming both sequential encoders and recursive encoders based on treebank annotations. We analyze the induced trees and show that while they discover some linguistically intuitive structures (e.g., noun phrases, simple verb phrases), they are different than conventional English syntactic structures. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1611.09100 https://arxiv.org/abs/1611.09100 BASE Hide details 6 Correlation-based Intrinsic Evaluation of Word Vector Representations ... Tsvetkov, Yulia; Faruqui, Manaal; Dyer, Chris. - : arXiv, 2016 BASE Show details 7 What Do Recurrent Neural Network Grammars Learn About Syntax? ... Kuncoro, Adhiguna; Ballesteros, Miguel; Kong, Lingpeng. - : arXiv, 2016 BASE Show details

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