William W. Cohen's Papers: Topic Modeling

  1. Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, and William W. Cohen (2017): A Comparative Study of Word Embeddings for Reading Comprehension in arxiv 1703.00993.
  2. Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov (2017): Gated-Attention Readers for Text Comprehension in ACL-2017.
  3. Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen and Daniel B. Neill (2016): Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams in arxiv 1602.04393 (won Yelp Dataset Challenge Grand Prize ).
  4. Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen (2016): Encode, Review, and Decode: Reviewer Module for Caption Generation in NIPS-2016.
  5. Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick, Michael Muehl and William W. Cohen (2016): Tweet2Vec: Character-Based Distributed Representations for Social Media in ACL-2016 (short paper).
  6. Zhilin Yang, Jei Tang, and William W. Cohen (2016): Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs in IJCAI-2016.
  7. Ramnath Balasubramanyan and William W. Cohen (2014): Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links in Handbook of Mixed Membership Models and Their Applications.
  8. Tuan-Ahn Hoang and William W. Cohen and Ee-Peng Lim (2014): On Modeling Community Behaviors and Sentiments in Microblogging in SDM-2014.
  9. Ramnath Balasubramanyan, Bhavana Dalvi and William W. Cohen (2013): From Topic Models to Semi-Supervised Learning: Biasing Mixed-membership Models to Exploit Topic-Indicative Features in Entity Clustering in ECML/PKDD-2013.
  10. Bhavana Dalvi and William W. Cohen and Jamie Callan (2013): Exploratory Learning in ECML/PKDD-2013.
  11. Tuan-Ahn Hoang, William W. Cohen, Ee-Peng Lim, Doug Pierce, David Redlawsk (2013): Politics, Sharing and Emotion in Microblogs in ANOMAN-2013.
  12. Dana Movshovitz-Attias and William W. Cohen (2013): Natural Language Models for Predicting Programming Comments in ACL-2013 (short paper).
  13. Ramnath Balasubramanyan and William W. Cohen (2013): Regularization of Latent Variable Models to Obtain Sparsity in SDM-2013.
  14. Ramnath Balasubramanyan and William W. Cohen (2012): Entropic Regularization of Mixed-membership Network Models using Pseudo-observations in MLG-2012.
  15. Ramnath Balasubramanyan, William W. Cohen, Doug Pierce, and David P. Redlawsk (2012): Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News? in ICWSM-2012.
  16. Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, and Eric P. Xing (2011): Structured Databases of Named Entities from Bayesian Nonparametrics in UNSUP-2011.
  17. Ramnath Balasubramanyan and William W. Cohen (2011): Block-LDA: Jointly modeling entity-annotated text and entity-entity links in SDM-2011.
  18. Ramnath Balasubramanyan and William W. Cohen (2010): Block-LDA: Jointly modeling entity-annotated text and entity-entity links in ICML-2010 Workshop on Topic Modeling.
  19. A. Ahmed, A. Arnold, L. P. Coelho, J. Kangas, A.-S. Sheikh, E. Xing, W. Cohen, and R. F. Murphy (2010): Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature in Journal of Web Semantics.
  20. Ramnath Balasubramanyan and William W. Cohen and Matthew Hurst (2009): Modeling corpora of timestamped documents using semisupervised nonparametric topic models in limbo.
  21. Amr Ahmed, Andrew Arnold, Luis Pedro Coelho, Joshua Kangas, Abdul-Saboor Sheikk, Eric P. Xing, William W. Cohen, and Robert F. Murphy (2009): Structured Literature Image Finder in Biolink-2009.
  22. Amr Ahmed, Eric P. Xing, William W. Cohen, and Robert F. Murphy (2009): Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature in KDD-2009.
  23. Tae Yano, Noah A. Smith, and William W. Cohen (2009): Predicting Response to Political Blog Posts with Topic Models in NAACL-2009.
  24. Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Noah A. Smith, and Matthew Hurst (2009): From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences in ICWSM-2009 (poster).
  25. Ramesh Nallapati, William W. Cohen, and John Lafferty (2007): Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability in ICDM Workshop on High Performance Data Mining.
  26. Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing (2007): Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models in ICDM Workshop on High Performance Data Mining.
  27. Ramesh Nallapati, William Cohen, Susan Ditmore, John Lafferty and Kin Ung (2007): Multiscale Topic Tomography in KDD-2007.

[Selected papers| By topic: Deep Learning| Info Extraction/Reading| Topic Modeling| Learning in Graphs| Matching/Data Integration| Text Categorization| Rule Learning| Explanation-Based Learning| Formal Results| Inductive Logic Programming| Collaborative Filtering| Applications| Intelligent Tutoring| GNAT System| By year: All papers]