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 transducersFile in questo prodotto:
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