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RelEx Semantic Relationship Extractor

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  Analyzed about 18 hours ago

RelEx is an English-language semantic relationship extractor, built on the Carnegie-Mellon Link Grammar parser. It can identify dependency-grammar dependencies, such as subject, object, indirect object and many other relationships between words in a sentence. It can also provide part-of-speech ... [More] tagging, noun-number tagging, verb tense tagging, gender tagging, and so on. Relex includes a basic implementation of the Hobbs anaphora (pronoun) resolution algorithm. RelEx also provides semantic relationship framing, similar to that of FrameNet. [Less]

11.8K lines of code

4 current contributors

9 months since last commit

2 users on Open Hub

Very Low Activity
0.0
 
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opensim4opencog

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  Analyzed over 1 year ago

The goal of this project is to develop an interface to Opensim for OpenCog and other AI systems. It provides a means of connecting external AI bots over a socket to an avatar in the OpenSim Simulator . It uses TextSL as base and updates it to use libopenmetaverse, and includes DotLisp and a simple ... [More] task queue processor as a persistent middle layer. http://opencog.org/wiki/OpenSim_for_OpenCog [Less]

1.01M lines of code

0 current contributors

about 12 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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LexAt Lexical/Corpus Statistics

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  No analysis available

The LexAt "lexical attraction" aka the RelEx Statistical Linguistics package adds statistical algorithms to the RelEx. Corpus statistics, including mutual information, are maintained in an SQL database, and drawn on to enhance various RelEx functions, such as parse ranking and chunk ranking, and word-sense disambiguation (Mihalcea algo).

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: apache_2