A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic

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Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Fold-all model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) ... continued below

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Andrzejewski, D; Zhu, X; Craven, M & Recht, B January 18, 2011.

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Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Fold-all model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) research community. Experiments demonstrate the expressive power of Fold-all, as well as the scalability of our proposed inference method.

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  • Presented at: Twenty-second International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, Spain, Jul 16 - Jul 22, 2011

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  • Report No.: LLNL-CONF-466413
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 1022903
  • Archival Resource Key: ark:/67531/metadc837531

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Office of Scientific & Technical Information Technical Reports

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  • January 18, 2011

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  • May 19, 2016, 3:16 p.m.

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  • Nov. 28, 2016, 6:02 p.m.

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Andrzejewski, D; Zhu, X; Craven, M & Recht, B. A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic, article, January 18, 2011; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc837531/: accessed December 11, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.