Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach

no code implementations • NAACL 2019 • Nicolas Pr{\"o}llochs, Stefan Feuerriegel, Dirk Neumann

For this, we present a novel strategy for learning fully interpretable negation rules via weak supervision: we apply reinforcement learning to find a policy that reconstructs negation rules from sentiment predictions at document level.

Negation Sentiment Analysis