https://github.com/airalcorn2/Deep-Semantic-Similarity-Model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
https://github.com/airalcorn2/Deep-Semantic-Similarity-Model

deep-learning information-retrieval keras natural-language-processing nlp

Last synced: 27 days ago
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My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

• Host: GitHub
• URL: https://github.com/airalcorn2/Deep-Semantic-Similarity-Model
• Owner: airalcorn2
• License: mit
• Created: 2016-04-26T20:59:44.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-05T20:24:23.000Z (over 7 years ago)
• Last Synced: 2024-08-08T23:21:28.181Z (5 months ago)
• Topics: deep-learning, information-retrieval, keras, natural-language-processing, nlp
• Language: Python
• Homepage:
• Size: 21.5 KB
• Stars: 518
• Watchers: 36
• Forks: 186
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Deep Semantic Similarity Model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described [here](http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf). As search data sets are generally proprietary, you will have to provide your own data to use with the code.

## Additional References

1. http://research.microsoft.com/pubs/238873/wsdm2015.v3.pdf - slides giving a high level overview of the DSSM and how it can be used for information retrieval.

2. http://research.microsoft.com/en-us/projects/dssm/ - Microsoft Research's summary of the DSSM (includes many more references).