QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships

Understand

Many natural language questions require recognizing and reasoning with qualitative relationships (e.g., in science, economics, and medicine), but are challenging to answer with corpus-based methods.

• Qualitative modeling provides tools that support such reasoning, but the semantic parsing task of mapping questions into those models has formidable challenges.
• We present QuaRel, a dataset of diverse story questions involving qualitative relationships that characterize these challenges, and techniques that begin to address them.
• The dataset has 2771 questions relating 19 different types of quantities.