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hello welcome my name is prasad yalamanchi from lead semantics the chapel hill north carolina based ai solutions company today i would like to introduce text distill our neural language processing pipeline text is an important source of knowledge in the enterprise memos contracts news emails research articles financial reports meeting minutes web chats and many more are all examples of text text is still takes unstructured text documents as input and produces facts of knowledge as output in the form of rdf triples which are then readily ingested into a standard rdf triple store enzogram database from cambridge semantics is our destination triple store extracting knowledge from text such as the english sentence seen here involves several important stages of computation first through preprocessing and normalization structure like the tokenization part of speech tags and other lexical annotations are added to raw text next semantic rules are applied to identify higher level concepts such