Unsupervised event extraction
AssigneeInternational Business Machines Corporation
InventorsRajarshi Haldar, Yu Deng, Lingfei Wu, Ruchi Mahindru, Shu Tao
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Abstract
Computer-implemented techniques for unsupervised event extraction are provided. In one instance, a computer implemented method can include parsing, by a system operatively coupled to a processor, unstructured text comprising event information to identify candidate event components. The computer implemented method can further include employing, by the system, one or more unsupervised machine learning techniques to generate structured event information defining events represented in the unstructured text based on the candidate event components.
Claims20
A system, comprising:
- a memory that stores computer executable components;
- a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
- a parsing component that identifies candidate event components included in a corpus of unstructured text data using one or more unsupervised machine learning processes;
- and
- an event extraction component that generates structured event information defining different events represented in the corpus of unstructured text data based on the candidate event components.
A method, comprising:
- identifying, by a system operatively coupled to a processor candidate event components included in a corpus of unstructured text data using unsupervised machine learning processes;
- and
- generating, by the system, structured event information defining different events represented in the corpus of unstructured text data based on the candidate event components.
A computer program product for unsupervised event extraction, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing component to cause the processing component to:
- identify candidate event components included in a corpus of unstructured text data using unsupervised machine learning processes;
- and
- generate structured event information defining different events represented in the corpus of unstructured text data based on the candidate event components.
Dependencies are inferred from the claim text.