Method for Identifying Verifiable Statements in Text

摘要

A method, system and computer-usable medium are disclosed for identifying verifiable statements in a corpus of text. A training corpus of text containing manually annotated instances of verifiable and non-verifiable statements is processed to parse the text into segmented statements, which are in turn processed to extract features. The extracted features and the annotated statements are then processed with a machine learning algorithm to generate a verifiable statement classification model. In turn, the verifiable statement classification model is referenced by a verifiable statement classification system to distinguish verifiable and non-verifiable statements contained within an input corpus of text.

主权项

1. A computer-implemented method for identifying verifiable statements, comprising:
receiving a text containing a plurality of statements, the text received by a system configured to parse text input; processing the text to parse the plurality of statements into segmented statements; and processing the segmented statements to identify individual segmented statements that are verifiable, the identification performed by the system.