Automated Acquisition of Patterns for Coding Political Event Data: Two Case Studies

COLING 2018 Peter Makarov

We present a simple approach to the generation and labeling of extraction patterns for coding political event data, an important task in computational social science. We use weak supervision to identify pattern candidates and learn distributed representations for them... (read more)

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