Text understanding with GETARUNS for Q/A and summarization
Rodolfo Delmonte · 2004
Summarization and Question Answering need precise linguistic information with a much higher coverage than what is being offered by currently available statistically based systems.We assume that the starting point of any interesting application in these fields must necessarily be a good syntacticsemantic parser.In this paper we present the system for text understanding called GETARUNS, General Text and Reference Understanding System (Delmonte, 2003a).The heart of the system is a rule-based top-down DCG-style parser, which uses an LFG oriented grammar organization.The parser produces an f-structure as a DAG which is then used to create a Logical Form, the basis for all further semantic representation.GETARUNS, has a highly sophisticated linguistically based semantic module which is used to build up the Discourse Model.Semantic processing is strongly modularized and distributed amongst a number of different submodules which take care of Spatio-Temporal Reasoning, Discourse Level Anaphora Resolution.