LCC's GISTexter at DUC 2006: Multi-Strategy Multi-Document Summarization
Finley Lăcătuşu, Andrew Hickl, Kirk E Roberts, Shi Ying, Jeremy Bensley, Bryan Rink, Patrick Wang, Lara Taylor · 2006
In this paper, we describe how Language Computer Corporation’s GISTEX-TER question-directed summarization system combines multiple strategies for question decomposition and summary generation in order to produce summary-length answers to complex questions. In addition, we introduce a novel framework for question-directed summarization that uses a state-of-the-art textual entailment system (Hickl et al., 2006) in order to select a single responsive summary answer from amongst a number of candidate summaries. We show that by considering entailment relationships between sentences extracted for a summary, we can automatically create semantic “Pyramids ” that can be used to identify answer passages that are both relevant and responsive. 1