Neural signal detection

A computer-implemented method, comprising:

• using an embedding layer of a neural signal detection network to create vector embeddings of information objects in a report;
• using a representation layer of the neural signal detection network to describe correlation between occurrence of a target event and the information objects from the report based at least in part on the vector embeddings;
• using a logit layer of the neural signal detection network to model a set of events that includes the target event based at least in part on the described correlation;
• determining an occurrence probability that the target event occurs given the set of events that was modeled;
• and
• identifying presence of a signal that there is a causal relationship between a target information object in the report and the target event by comparing the occurrence probability with a comparator probability that the target event occurs where the target information object is not present.

A computing system comprising:

• a processor;
• a memory operably connected to the processor;
• a non-transitory computer-readable medium operably connected to the processor and memory and storing computer-executable instructions that when executed by at least the processor of a computer cause the computing system to:
• use an embedding layer of a neural signal detection network to create vector embeddings of information objects in a report;
• use a representation layer of the neural signal detection network to describe correlation between occurrence of a target event and the information objects from the report based at least in part on the vector embeddings;
• use a logit layer of the neural signal detection network to model a set of events that includes the target event based at least in part on the described correlation;
• determine an occurrence probability that the target event occurs given the set of events that was modeled;
• and
• identify presence of a signal that there is a causal relationship between a target information object in the report and the target event by comparing the occurrence probability with a comparator probability that the target event occurs where the target information object is not present.