Unleash the value of unstructured data: NLP Applications in HCLS
Natural Language Processing (NLP) Track | KGC 2023
•
25m
Significant portions of the data generated in enterprises are unstructured and text-based. This can span the entire product lifecycle, from early research to post-launch analysis. A major challenge for companies is managing these vast amounts of text data and extracting hidden and valuable information to gain actionable insights and make important business decisions. Thanks to recent advances in the field of natural language processing (NLP), this is now possible.
Up Next in Natural Language Processing (NLP) Track | KGC 2023
-
Leave no Thought Behind: Encoding Con...
Many industries store vast amounts of information as natural language. Current methods for composing this text into knowledge graphs parse a small set of relations from within a larger document. The author's specific diction is approximated by the vocabulary of the model. In domains where precise...
-
Methods for Natural Language Search o...
Natural language search over a knowledge graph presents unique challenges as the entities of a knowledge graph differ in structure compared to traditional documents. In this talk, we discuss methods of implementing natural language search over entity space within a knowledge graph using such tech...