In some examples, artificial intelligence based corpus enrichment for knowledge population and query response may include generating, based on annotated training documents, an entity and relation annotation model, identifying, based on application of the entity and relation annotation model to a document set to be annotated, entities and relations between the entities for each document of the document set to generate an annotated document set, and categorizing each annotated document into a plurality of categories. Artificial intelligence based corpus enrichment may include determining whether an identified category includes a specified number of annotated documents, and if not, additional annotated documents may be generated for the identified category that may represent a corpus. Further, artificial intelligence based corpus enrichment may include training, using the corpus, an artificial intelligence based decision support model, and utilizing the artificial intelligence based decision support model to respond to an inquiry. W w UZ zn) C)o <w 00 0n C)U) <W uj0OM-..=.0i EE w~ W Z6 E:fl Z w I' DW < OS2D-~ 0 o wL Hj LU< Z 2 oo -1 0 D < W9. z U0 0 < Z. Z) 0 zO zH <zOZz n:i <Z uDJ o uj 2ZN ZZ z K HuJ H CCoLo5 )L _ ZZ-T z -i C). O 0 ~z < < LL w(
ARTIFICIAL INTELLIGENCE BASED CORPUS ENRICHMENT FOR KNOWLEDGE POPULATION AND QUERY RESPONSE