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- W2041231036 abstract "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." @default.
- W2041231036 created "2016-06-24" @default.
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- W2041231036 date "2004-01-01" @default.
- W2041231036 modified "2023-10-18" @default.
- W2041231036 title "Text understanding with GETARUNS for Q/A and summarization" @default.
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- W2041231036 doi "https://doi.org/10.3115/1628275.1628288" @default.
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