Experiments with Interactive Question Answering in Complex Scenarios

This paper addresses the pragmatic challenges that state-of-the-art question/answering sys- tems face in trying to decompose complex information-seeking scenarios. We propose that question decomposition can be approached in one of two ways: either by approximating the domain-specific knowledge for a particular set of domains, or by identifying the decompo- sition strategies employed by human users. We also present preliminary results from experi- ments that confirm the viability of each of these approaches within an interactive Q/A context.