Difference between revisions of "Vulcan"
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* [[Vulcan/PrototypeToWorking| Prototype to a Working System]] <br/> | * [[Vulcan/PrototypeToWorking| Prototype to a Working System]] <br/> | ||
3. [[Vulcan/Experiments| Experiments]]<br/> | 3. [[Vulcan/Experiments| Experiments]]<br/> | ||
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+ | 4. [[Vulcan/ProjectPlan|Project Planning]] | ||
== Documents == | == Documents == | ||
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<li> [http://homes.cs.washington.edu/~niranjan/vulcan/inference-example.pdf Iron nail example in detail.]</li> | <li> [http://homes.cs.washington.edu/~niranjan/vulcan/inference-example.pdf Iron nail example in detail.]</li> | ||
<li>[http://homes.cs.washington.edu/~niranjan/vulcan/InferenceExamples-Stephen.docx Stephen's examples for quantification inference, and rule templates]</li> | <li>[http://homes.cs.washington.edu/~niranjan/vulcan/InferenceExamples-Stephen.docx Stephen's examples for quantification inference, and rule templates]</li> | ||
+ | <li>[[Vulcan/OpenIECoverage|Examples of Open IE coverage issues]]</li> | ||
+ | <li>[[Vulcan/XWordNet| Extended WordNet Overview and example]] from Stephen.</li> | ||
</ul> | </ul> | ||
=== Design Documents === | === Design Documents === | ||
− | * [http://homes.cs.washington.edu/~niranjan/vulcan/system-design.pdf | + | * [http://homes.cs.washington.edu/~niranjan/vulcan/system-design.pdf Inference System Design] |
* [[TextualMatching | Rule representation]] | * [[TextualMatching | Rule representation]] | ||
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* [[Vulcan/TupleRepresentation | Representing N-ary and Nested Tuples]] -- Email thread. | * [[Vulcan/TupleRepresentation | Representing N-ary and Nested Tuples]] -- Email thread. | ||
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+ | * [[Vulcan/HandlingGaps| Handling gaps in inference.]] | ||
== Resources == | == Resources == | ||
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:<b>Proposition Verifier</b> -- This interface will take in a natural language sentence as input, convert it into a proposition, and find evidence for it using UW's inference system. | :<b>Proposition Verifier</b> -- This interface will take in a natural language sentence as input, convert it into a proposition, and find evidence for it using UW's inference system. | ||
− | :<b>[http://rv-n16.cs.washington.edu: | + | :<b>[http://rv-n16.cs.washington.edu:9191 Textual Evidence Finder]</b> -- Find tuples from study guide and definition sentences. |
+ | |||
+ | :<b>[http://rv-n16.cs.washington.edu:15555/solr/#/vulcan/query Solr instance behind Textual Evidence Finder]</b> | ||
:<b>Open IE 4.0</b> -- Process input sentence using Open IE 4.0 (similar to Michael's nlpweb) [To Do] | :<b>Open IE 4.0</b> -- Process input sentence using Open IE 4.0 (similar to Michael's nlpweb) [To Do] |
Latest revision as of 06:45, 18 September 2013
This page has pointers to documents, resources, and demos.
Contents
Project Log
1. Meeting Notes
2. System Development
3. Experiments
Documents
Examples
- Inference steps for 10 propositions.
- Iron nail example in detail.
- Stephen's examples for quantification inference, and rule templates
- Examples of Open IE coverage issues
- Extended WordNet Overview and example from Stephen.
Design Documents
- Patterns for extracting definitions from Stephen.
- Representing N-ary and Nested Tuples -- Email thread.
Resources
Questions
NY Regents Sample of 4th-12th grade questions.
Definitions
Concept and Definitions extracted from 4th grade specific resources by Harcourt and McMillan.
A subset of definitions covering 4th grade science syllabus. The definitions are extracted from about seven different dictionaries.
Wikipedia sentences covering the target concepts.
Study Guide materials
Barrons Grade 4 Science Topics
Barrons Grade 4 Science Sentences
Demos and Services
- UW
- Proposition Verifier -- This interface will take in a natural language sentence as input, convert it into a proposition, and find evidence for it using UW's inference system.
- Textual Evidence Finder -- Find tuples from study guide and definition sentences.
- Open IE 4.0 -- Process input sentence using Open IE 4.0 (similar to Michael's nlpweb) [To Do]
- Compound Noun Categorizer -- Process text using fanse parser. [To Do]
- Vulcan
- Vulcan Evaluation Server -- Select the **SECOND** entry (Direct Question-Answering (XML returned)) and type in a question. If the UW question-answerer can return answers in the same structure, then the tester can interface with it and run the exams through.
Literature
Quantification
Aurelie Herbelot, Thesis.
BLP and MLNs
1. Learning to Read Between the Lines using Bayesian Logic Programs Raghavan and Mooney, ACL 2012.
2. Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS VLDB 2011. Slides
3. RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models AAAI 2013.