Serban et al., 2017 - Google Patents
A hierarchical latent variable encoder-decoder model for generating dialoguesSerban et al., 2017
View PDF- Document ID
- 7853689277795107592
- Author
- Serban I
- Sordoni A
- Lowe R
- Charlin L
- Pineau J
- Courville A
- Bengio Y
- Publication year
- Publication venue
- Proceedings of the AAAI conference on artificial intelligence
External Links
Snippet
Sequential data often possesses hierarchical structures with complex dependencies between sub-sequences, such as found between the utterances in a dialogue. To model these dependencies in a generative framework, we propose a neural network-based …
- 230000004044 response 0 abstract description 54
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- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06N3/00—Computer systems based on biological models
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
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- G—PHYSICS
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- G06N7/005—Probabilistic networks
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
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- G10L15/08—Speech classification or search
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