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Träfflista för sökning "WFRF:(Vu Xuan Son 1988 ) srt2:(2018)"

Sökning: WFRF:(Vu Xuan Son 1988 ) > (2018)

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1.
  • Tran, Son N., et al. (författare)
  • Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling
  • 2018
  • Ingår i: Neural Information Processing. - Cham : Springer. - 9783030041663 - 9783030041670 ; , s. 452-462
  • Konferensbidrag (refereegranskat)abstract
    • Recurrent neural networks (RNNs) is a useful tool for sequence labelling tasks in natural language processing. Although in practice RNNs suffer a problem of vanishing/exploding gradient, their compactness still offers efficiency and make them less prone to overfitting. In this paper we show that by propagating the prediction of previous labels we can improve the performance of RNNs while keeping the number of parameters in RNNs unchanged and adding only one more step for inference. As a result, the models are still more compact and efficient than other models with complex memory gates. In the experiment, we evaluate the idea on optical character recognition and Chunking which achieve promising results.
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2.
  • Vu, Xuan-Son, 1988-, et al. (författare)
  • Lexical-semantic resources : yet powerful resources for automatic personality classification
  • 2018
  • Ingår i: Proceedings of the 9th Global WordNet Conference (GWC 2018). - Singapore : Nanyang Technological University (NTU). - 9789811170874 ; , s. 173-182
  • Konferensbidrag (refereegranskat)abstract
    • In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic personality classification task. While stylistic features (e.g., part-of-speech counts) have been shown their power in this task, the impact of semantics beyond targeted word lists is relatively unexplored. We propose and extract three types of lexical-semantic features, which capture high-level concepts and emotions, overcoming the lexical gap of word n-grams. Our experimental results are comparable to state-of-the-art methods, while no personality-specific resources are required.
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Vu, Xuan-Son, 1988- (2)
Jiang, Lili (1)
Zhang, Qing (1)
Tran, Son N. (1)
Nguyen, Anthony (1)
Ngo, Son (1)
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Flekova, Lucie (1)
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