MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity

@article{Hu2019MonaLogAL,
  title={MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity},
  author={Hai Hu and Qi Chen and Kyle Richardson and Atreyee Mukherjee and Lawrence S. Moss and Sandra K{\"u}bler},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.08772}
}
We present a new logic-based inference engine for natural language inference (NLI) called MonaLog, which is based on natural logic and the monotonicity calculus. In contrast to existing logic-based approaches, our system is intentionally designed to be as lightweight as possible, and operates using a small set of well-known (surface-level) monotonicity facts about quantifiers, lexical items and tokenlevel polarity information. Despite its simplicity, we find our approach to be competitive with… CONTINUE READING