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RelEx Semantic Relationship Extractor

  Analyzed about 21 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

4 months since last commit

2 users on Open Hub

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Mostly written in Java
Licenses: apache_2
Tags ai anaphora artificial_intelligence computational_linguistics corpus_linguistics dependency dependency_grammar grammar hobbs java linguistics natural_language 8 more...

LexAt Lexical/Corpus Statistics

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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).

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0 since last commit

1 users on Open Hub

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Mostly written in language not available
Licenses: apache_2
Tags computational_linguistics corpora corpus corpus_linguistics database java linguistics natural_language natural_language_processing nlp opencog perl 1 more...

Link Grammar

  Analyzed about 4 hours ago

The Link Grammar Parser is a syntactic parser of English, based on link grammar, an original theory of English syntax. Given a sentence, the system assigns to it a syntactic structure, which consists of a set of labeled links connecting pairs of words. The parser also produces a "constituent" (Penn ... [More] tree-bank style phrase tree) representation of a sentence (showing noun phrases, verb phrases, etc.). [Less]

77.4K lines of code

4 current contributors

6 days since last commit

1 users on Open Hub

Moderate Activity
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Mostly written in C
Licenses: lgpl21_or...
Tags arabic biomedical cmu computational_linguistics english german grammar linguistics morphological_analysis morphology natural_language natural_language_processing 8 more...

moses

  Analyzed about 6 hours ago

Meta-optimizing semantic evolutionary search (MOSES) is a new approach to program evolution, based on representation-building and probabilistic modeling. MOSES has been successfully applied to solve hard problems in domains such as computational biology, sentiment evaluation, and agent control. ... [More] Results tend to be more accurate, and require less objective function evaluations, in comparison to other program evolution systems. Best of all, the result of running MOSES is not a large nested structure or numerical vector, but a compact and comprehensible program written in a simple Lisp-like mini-language. For more information see: http://metacog.org/doc.html. Interested C++ developers, please drop in at #opencog on IRC.freenode.net. [Less]

41.5K lines of code

5 current contributors

7 months since last commit

0 users on Open Hub

Very Low Activity
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Mostly written in C++
Licenses: apache_2
Tags artificialintelligence combinatorylogic evolutionaryalgorithm evolutionarycomputation evolutionaryprogramming geneticalgorithm geneticprogramming machinelearning particleswarmoptimization programevolution