@inproceedings{giguet-vergne-1997-part,
title = "From Part of Speech Tagging to Memory-based Deep Syntactic Analysis",
author = "Giguet, Emmanuel and
Vergne, Jacques",
booktitle = "Proceedings of the Fifth International Workshop on Parsing Technologies",
month = sep # " 17-20",
year = "1997",
address = "Boston/Cambridge, Massachusetts, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/1997.iwpt-1.12",
pages = "77--88",
abstract = "This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure.",
}
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<abstract>This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure.</abstract>
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%0 Conference Proceedings
%T From Part of Speech Tagging to Memory-based Deep Syntactic Analysis
%A Giguet, Emmanuel
%A Vergne, Jacques
%S Proceedings of the Fifth International Workshop on Parsing Technologies
%D 1997
%8 sep" 17 20"
%I Association for Computational Linguistics
%C Boston/Cambridge, Massachusetts, USA
%F giguet-vergne-1997-part
%X This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover efficiently and reliably syntactic information with no explicit expectation on text structure.
%U https://aclanthology.org/1997.iwpt-1.12
%P 77-88
Markdown (Informal)
[From Part of Speech Tagging to Memory-based Deep Syntactic Analysis](https://aclanthology.org/1997.iwpt-1.12) (Giguet & Vergne, IWPT 1997)
ACL