In this paper we propose an efficient deterministic approach to parsing texts for Information Extraction purposes that has been pursued by the natural language research group at ITC/IRST. The syntactic processing is split in two phases. During the first phase predicate/argument structures are recognized, whereas modifier attachment is delayed. In the second phase we use the syntactic/semantic constraints to compute modifier attachments. In both phases the processing is accomplished by exploiting cascades of finite state transducers

Efficient Full Parsing for Information Extraction

Lavelli, Alberto;
1997-01-01

Abstract

In this paper we propose an efficient deterministic approach to parsing texts for Information Extraction purposes that has been pursued by the natural language research group at ITC/IRST. The syntactic processing is split in two phases. During the first phase predicate/argument structures are recognized, whereas modifier attachment is delayed. In the second phase we use the syntactic/semantic constraints to compute modifier attachments. In both phases the processing is accomplished by exploiting cascades of finite state transducers
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/1472
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