Skip to content

Python implementation of unsupervised semantic parsing and markov logic network knowledgebase induction.

License

Notifications You must be signed in to change notification settings

GallupGovt/pymln

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

pymln

Python implementation of unsupervised semantic parsing and markov logic network knowledgebase induction. This work is funded through DARPA’s ASKE program () as part of Gallup's MULTIVAC project.

This is a work in progress.

This software is derived from the USP (Beta Version) Software by the University of Washington, available here: http://alchemy.cs.washington.edu/usp/

All of the documentation and software included in the USP (Beta Version) Software is copyrighted by Hoifung Poon and Pedro Domingos.

Copyright [2009-11] Hoifung Poon and Pedro Domingos. All rights reserved.

Contact: Hoifung Poon (hoifung.poon@gmail.com).

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  3. All advertising materials mentioning features or use of this software must display the following acknowledgment: "This product includes software developed by Hoifung Poon and Pedro Domingos in the Department of Computer Science and Engineering at the University of Washington".

  4. Your publications acknowledge the use or contribution made by the Software to your research using the following citation(s):

Hoifung Poon and Pedro Domingos (2009). "Unsupervised Semantic Parsing", in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2009. http://alchemy.cs.washington.edu/usp.

  1. Neither the name of the University of Washington nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE UNIVERSITY OF WASHINGTON AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY OF WASHINGTON OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

About

Python implementation of unsupervised semantic parsing and markov logic network knowledgebase induction.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages