中国科学院自动化研究所机构知识库(CASIA OpenIR): 听觉模型与认知计算

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Automated pulmonary nodule detection in CT images using deep convolutional neural .. [期刊论文, 2019-01]
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the.. [会议论文, 2018-12]
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Man.. [会议论文, 2018-12]
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural .. [期刊论文, 2018-10]
Effectively training neural machine translation with monolingual data [期刊论文, 2018-10]
Semi-Supervised Disfluency Detection [会议论文, 2018-10]
Self-Attention Based Network for Punctuation Restoration [会议论文, 2018-10]
unsupervised domain adaptation for neural machine translation [会议论文, 2018-10]
Generative adversarial training for neural machine translation [期刊论文, 2018-10]
Unsupervised Neural Machine Translation with Weight Sharing [会议论文, 2018-10]

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2. Semantic expansion using word embedding clustering and convolutional neural networ..

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3. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

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4. A neural network framework for relation extraction: Learning entity semantic and r..

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5. Compositional Recurrent Neural Networks for Chinese Short Text Classification

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6. Chinese Image Text Recognition with BLSTM-CTC: A Segmentation-free Method

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7. Improving Short Text Classification by Learning Vector Representations of Both Wor..

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8. Hybrid Attention Networks for Chinese Short Text Classification

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9. Syllable-Based Acoustic Modeling with CTC for Multi-Scenarios Mandarin speech reco..

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10. IMAGE CHARACTER RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORK LEARNED FROM D..

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1. Semantic expansion using word embedding clustering and convolutional neural networ..

[15]

2. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

[13]

3. Joint entity and relation extraction based on a hybrid neural network

[10]

4. A neural network framework for relation extraction: Learning entity semantic and r..

[8]

5. Chinese Image Text Recognition with BLSTM-CTC: A Segmentation-free Method

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6. IMAGE CHARACTER RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORK LEARNED FROM D..

[7]

7. Improving Short Text Classification by Learning Vector Representations of Both Wor..

[7]

8. Hybrid Attention Networks for Chinese Short Text Classification

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9. Short Text Clustering via Convolutional Neural Networks

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10. Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-..

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1. Joint entity and relation extraction based on a hybrid neural network

[5]

2. Short Text Clustering via Convolutional Neural Networks

[4]

3. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

[4]

4. Chinese Image Text Recognition with BLSTM-CTC: A Segmentation-free Method

[4]

5. IMAGE CHARACTER RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORK LEARNED FROM D..

[3]

6. Semantic expansion using word embedding clustering and convolutional neural networ..

[2]

7. Improving Short Text Classification by Learning Vector Representations of Both Wor..

[2]

8. A neural network framework for relation extraction: Learning entity semantic and r..

[2]

9. End-to-end Language Identification using Attention-based Recurrent Neural Networks

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10. Hierarchical Hybrid Attention Networks for Chinese Conversation Topic Classificati..

[2]

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