TextDistil - A Robust
Knowledge Extraction Pipeline
Built on LLMs and Semantic Technology
TextDistil in Language and Knowledge techscape
TextDistil targets the cognitive corner of the technology
land scape. It is well positioned to deliver novel
functionality by leveraging the amazing power of
Large Language Models combined with the robust
methods of Semantic Technology.
Accurate Entity Detection
Besides open domain entities, our models are tuned for
domain specific taxonomy and trained on large curated
domain specific data sets.
Exploit the context in
narrative Text
Entity and Relation prediction in narrative text is further
enhanced with our purpose built pragmatics augmented
co-reference models.
enhanced with our purpose built pragmatics augmented
co-reference models.
Leverage the power of LLMs and Semantic Technology
We leverage the awesome power of Large Language
Models to tease out the understanding to construct high
fidelity domain specific knowledge as described by an
Ontology using Semantic Technology.
Models to tease out the understanding to construct high
fidelity domain specific knowledge as described by an
Ontology using Semantic Technology.
Configurable Cognition
Pipeline
Architecture of TextDistil pipeline lends it self to be domain
independent. The pipeline enables ‘no code’ Knowledge
Graph generation from Text and adapts to different
domains and down stream applications by configuring
custom Ontology and custom Taxonomy trained models.
independent. The pipeline enables ‘no code’ Knowledge
Graph generation from Text and adapts to different
domains and down stream applications by configuring
custom Ontology and custom Taxonomy trained models.