Improving LSA-based Summarization with Anaphora Resolution

We propose an approach to summarization exploiting both lexical information and the output of an automatic anaphoric re- solver, and using Singular Value Decom- position ( SVD ) to identify the main terms. We demonstrate that adding anaphoric information results in significant perfor- mance improvements over a previously developed system, in which only lexical terms are used as the input to SVD . How- ever, we also show that how anaphoric in- formation is used is crucial: whereas using this information to add new terms does re- sult in improved performance, simple sub- stitution makes the performance worse