Difference between revisions of "Class Meeting for 10-707 11/3/2010"
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=== IE and Reasoning 2: Joint Inference with MLNs === | === IE and Reasoning 2: Joint Inference with MLNs === | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-707/11-03-whirl. | + | * [http://www.cs.cmu.edu/~wcohen/10-707/11-03-whirl-catchup.pptx Slides], finishing up Monday's lecture |
* [http://www.cs.cmu.edu/~wcohen/10-707/11-03-poon-domingos.ppt Slides], MLNs for NER/Matching | * [http://www.cs.cmu.edu/~wcohen/10-707/11-03-poon-domingos.ppt Slides], MLNs for NER/Matching | ||
Latest revision as of 15:09, 3 November 2010
This is one of the class meetings on the schedule for the course Information Extraction 10-707 in Fall 2010.
IE and Reasoning 2: Joint Inference with MLNs
Required Readings
- Joint inference in information extraction, by H. Poon, P. Domingos. In PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2007.
- William W. Cohen, David McAllester, and Henry Kautz (2000): Hardening Soft Information Sources in KDD 2000: 255-259.
Optional Readings
- Jointly Identifying Temporal Relations with Markov Logic, by K. Yoshikawa, J. NAIST, S. Riedel, M. Asahara, Y. Matsumoto. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, 2009.
- Haghighi, A., and D. Klein. n.d. An Entity-Level Approach to Information Extraction. Another nice joint model, of coreference and the role played by entities in relations.
