RelEx Semantic Relationship Extractor
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extractor semantic Relationship Semantic Relationship Relationship Extractor

RelEx Description

Semantic Relationship Extractor RelEx is a narrow-AI component of OpenCog, is an English-language semantic relationship extractor, built on the Carnegie-Mellon link parser. It can identify subject, object, indirect object and many other dependency relationships between words in a sentence; it generates dependency trees, resembling those of dependency grammars. In this sense, it implements some of the ideas of Hudson's Word Grammar.It can also provide part-of-speech tagging, noun-number tagging, verb tense tagging, gender tagging, and so on. Relex includes a basic implementation of the Hobbs anaphora (pronoun) resolution algorithm. Optionally, it can use GATE for entity detection.RelEx also provides semantic relationship framing, similar to that of FrameNet.Relex is a part of OpenCog, an open-source artificial general intelligence project. What's New in This Release: · This release provides a significant new feature: Penn-Treebank-compatible POS tagging. This feature is currently "experimental", in that it has not been evaluated for accuracy; it appears to work reasonably well. It is currently intended only for use with the Stanford parser compatibility mode (thus providing Stanford-compatible POS tagging). · Another notable change is the fallback of using the standard Java sentence splitter if the OpenNLP-based sentence splitter is not installed. There are a number of bug fixes. Some of these improve POS tagging, while others provide fixes for operation with the OpenCog embodiment code. · IMPORTANT: This release *requires* link-grammar-4.6.5 or newer!

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