Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically generating an article on a selected topic. In one aspect, a method comprises: obtaining a set of input text sequences; generating a set of structured data records from the set of input text sequences using an extraction neural network, wherein each structured data record defines a structured representation of a corresponding input text sequence; filtering the collection of structured data records to identify and remove structured data records that are predicted to be unreliable; and processing the collection of structure data records to generate an article that is relevant to a selected topic and that aggregates information from across multiple structured data records.

Abstract: A computer-implemented method is disclosed for generating structured data representations from unstructured input text sequences through a neural network-based extraction pipeline. The method involves acquiring input text sequences and processing them with an extraction neural network to produce output text sequences. Each output text sequence includes embedded delimiter tokens that annotate specific text segments, mapping them to semantic categories defined within a structured schema. The annotated text segments encapsulate semantically relevant information extracted from the input sequence. The output text sequences are subsequently processed to generate structured data records.

Abstract: A system and method for generating predictions of geopolitical events is provided. Predictions may be generated by retrieving relevant metadata associated with a content item and evaluating one or more signals representative of the same.

Abstract: A system and method for generating predictions of geopolitical events is provided. Predictions may be generated by retrieving relevant metadata associated with a content item and assessing a plurality of signals representative of the same. The plurality of signals may be comprised of a contestation signal based on a first parameter extracted from the retrieved metadata, an activity signal based on a second parameter extracted from the retrieved metadata, and a composite signal that is a function of the contestation signal and the activity signal.