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Incorporating domain knowledge into topic modeling via Dirichlet Forest priors.

, , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 25-32. ACM, (2009)

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A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic., , , and . IJCAI, page 1171-1177. IJCAI/AAAI, (2011)Statistical Debugging Using Latent Topic Models., , , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 6-17. Springer, (2007)Incorporating domain knowledge into topic modeling via Dirichlet Forest priors., , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 25-32. ACM, (2009)May All Your Wishes Come True: A Study of Wishes and How to Recognize Them., , , , , and . HLT-NAACL, page 263-271. The Association for Computational Linguistics, (2009)Improving Diversity in Ranking using Absorbing Random Walks., , , and . HLT-NAACL, page 97-104. The Association for Computational Linguistics, (2007)Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006., , , , , and . TREC, volume 500-272 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)Exploring Topic Coherence over Many Models and Many Topics., , , and . EMNLP-CoNLL, page 952-961. ACL, (2012)Latent Dirichlet Allocation with topic-in-set knowledge, and . Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing, page 43--48. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)Latent topic feedback for information retrieval., and . KDD, page 600-608. ACM, (2011)