TianHongZXY/qaap
[EMNLP 2023] Question Answering as Programming for Solving Time-Sensitive Questions
This tool helps researchers and data scientists answer complex questions that involve specific time constraints, like "Who coached this team between January 1997 and August 1997?". You input a question and relevant text, and it outputs a Python-like program that logically processes the information to find the precise answer within the given timeframe. It's designed for those working with large text datasets where accurate temporal reasoning is critical.
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Use this if you need to extract precise, time-sensitive information from text and evaluate the accuracy of those extractions automatically.
Not ideal if your questions don't involve time constraints or if you prefer a simpler, less programmatic approach to question answering.
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Python
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Last pushed
Dec 18, 2023
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