Systems, methods, and computer readable media for visualization of semantic information and inference of temporal signals indicating salient associations between life science entities

A system for generating semantic information between entities, comprising:

• a memory that stores a module;
• and
• a processor configured to run the module stored in the memory that is configured to cause the processor to:
• identify a plurality of semantic entities in one or more corpora, wherein the semantic entities include one or more of single words or multi-word phrases;
• identify a plurality of semantic entity types in the one or more corpora;
• associate one or more semantic entity types with the semantic entities of the plurality of semantic entities;
• generate word embeddings for the plurality of semantic entities;
• determine a first set of semantic association scores between semantic entities from the plurality of semantic entities based on the word embeddings;
• receive a query term;
• determine a query term entity type associated with the query term, wherein determining the query term entity type comprises determining if the query term corresponds to at least one semantic entity that is associated with the word embeddings;
• generate a first list of resulting semantic entities associated with the query term based on the a first set of semantic association scores and the query term entity type;
• generate a second list of semantic entity collections based on the semantic entity types associated with the semantic entities of the first list of resulting semantic entities, wherein each semantic entity collection from the second list is associated with a semantic entity type;
• and
• provide an output based on the second list of semantic entity collections.