
TL;DR
This paper presents an NLP assistant integrated into Clide that visualizes semantic structures and mines information from text, aiding NLP application development through interactive visualization and querying.
Contribution
It introduces an NLP assistant that visualizes semantic graphs, coreference chains, and mined triples within a collaborative environment, enhancing NLP development tools.
Findings
Successfully visualizes semantic graphs and coreference chains
Enables querying of mined triples from text
Demonstrates translation of natural language descriptions into graphs
Abstract
This report describes an NLP assistant for the collaborative development environment Clide, that supports the development of NLP applications by providing easy access to some common NLP data structures. The assistant visualizes text fragments and their dependencies by displaying the semantic graph of a sentence, the coreference chain of a paragraph and mined triples that are extracted from a paragraph's semantic graphs and linked using its coreference chain. Using this information and a logic programming library, we create an NLP database which is used by a series of queries to mine the triples. The algorithm is tested by translating a natural language text describing a graph to an actual graph that is shown as an annotation in the text editor.
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Taxonomy
TopicsNatural Language Processing Techniques · Semantic Web and Ontologies · Speech and dialogue systems
