Multi-hop Question Answering (Foundations and Trends® in Information Retrieval)
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But the notion of 'multiple hops' is somewhat abstract which results in a large variety of tasks that require multi-hop reasoning. This leads to different datasets and models that differ significantly from each other and makes the field challenging to generalize and survey.
In this monograph, the authors provide a general and formal definition of the MHQA task, and organize and summarize existing MHQA frameworks. They also outline some best practices for building MHQA datasets.
This monograph provides a systematic and thorough introduction to Multi-Hop Question Answering that is becoming increasingly important in practical AI systems. .
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£27.18
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