Abstract: A system and method are provided for automatic identification, extraction, and validation of data pertaining to receiving entity events (REE). Feature (or attribute) values associated with web content are identified. The web content may contain news and features on current/past affairs. The identified feature values are considered by a rule-based or a machine-learned model and, based upon output of the model, a determination as to whether the set of data comprises a REE is made. If the determination is positive, then multiple data items are extracted from the set of data and, optionally, from other data from the source.

Abstract: Techniques for identifying relationships between entities using machine learning are disclosed herein.

Abstract: Techniques for inferring data are disclosed herein. In some embodiments, a data inference system detects a lack of size data for a profile of an organization on an online service, with the size data identifying a size of the organization, generates the size data based on an inference model and at least two attributes of the organization, and performs a function of the online service using the generated size data. In some embodiments, the data inference system retrieves instances of attributes for a plurality of organization profiles on the online service, generates a predicted size data using the inference model for each one of the plurality of organization profiles, retrieves a control size data for each one of the plurality of organization profiles, and uses a machine learning algorithm to modify the inference model based on a comparison of the corresponding predicted size data with the corresponding control size data.