DeSR is a Dependency Shift/Reduce parser for multiple languages. It generates dependency parse trees for natural language sentences. The parser has been trained on 24 languages, incuding those of the 2006 and 2007 CoNLL Shared tasks. Dependency structures are built scanning the input and deciding at each step whether to perform a shift or to create a dependency between two adjacent tokens. The parser algorithm is deterministic and highly efficient while still achieving state of the art accuracy.

DeSR Dependency Parser

ATTARDI, GIUSEPPE
2006-01-01

Abstract

DeSR is a Dependency Shift/Reduce parser for multiple languages. It generates dependency parse trees for natural language sentences. The parser has been trained on 24 languages, incuding those of the 2006 and 2007 CoNLL Shared tasks. Dependency structures are built scanning the input and deciding at each step whether to perform a shift or to create a dependency between two adjacent tokens. The parser algorithm is deterministic and highly efficient while still achieving state of the art accuracy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/106508
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