Abstract
Different NLP applications have different efficiency constraints (i.e. quality of the results and throughput) that reflect on each core linguistic component. Syntactic processors are basic modules in some NLP application. A customization that permits the performance control of these components enables their reuse in different application scenarios. Throughput has been commonly improved using partial syntactic processors. On the other hand, specialized lexicons are generally employed to improve the quality of the syntactic material produced by specific parsing (sub)process (e.g. verb argument detection or PP attachment disambiguation) . Building upon the idea of grammar stratification, in this paper a method to push modularity and lexical sensitivity, in parsing, in view of customizable syntactic analysers is presented. A framework for modular parser design is proposed and its main properties are discussed. Parsers (i.e. different parsing module chains) are then presented and their performances are analyzed in an application-driven scenarios.- Anthology ID:
- 2000.iwpt-1.7
- Volume:
- Proceedings of the Sixth International Workshop on Parsing Technologies
- Month:
- February 23-25
- Year:
- 2000
- Address:
- Trento, Italy
- Editors:
- Alberto Lavelli, John Carroll, Robert C. Berwick, Harry C. Bunt, Bob Carpenter, John Carroll, Ken Church, Mark Johnson, Aravind Joshi, Ronald Kaplan, Martin Kay, Bernard Lang, Alon Lavie, Anton Nijholt, Christer Samuelsson, Mark Steedman, Oliviero Stock, Hozumi Tanaka, Masaru Tomita, Hans Uszkoreit, K. Vijay-Shanker, David Weir, Mats Wiren
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 41–52
- Language:
- URL:
- https://aclanthology.org/2000.iwpt-1.7
- DOI:
- Bibkey:
- Cite (ACL):
- R. Basili, M. T. Pazienza, and F. M. Zanzotto. 2000. Customizable Modular Lexicalized Parsing. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 41–52, Trento, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Customizable Modular Lexicalized Parsing (Basili et al., IWPT 2000)
- Copy Citation:
- PDF:
- https://aclanthology.org/2000.iwpt-1.7.pdf
Export citation
@inproceedings{basili-etal-2000-customizable,
title = "Customizable Modular Lexicalized Parsing",
author = "Basili, R. and
Pazienza, M. T. and
Zanzotto, F. M.",
editor = "Lavelli, Alberto and
Carroll, John and
Berwick, Robert C. and
Bunt, Harry C. and
Carpenter, Bob and
Carroll, John and
Church, Ken and
Johnson, Mark and
Joshi, Aravind and
Kaplan, Ronald and
Kay, Martin and
Lang, Bernard and
Lavie, Alon and
Nijholt, Anton and
Samuelsson, Christer and
Steedman, Mark and
Stock, Oliviero and
Tanaka, Hozumi and
Tomita, Masaru and
Uszkoreit, Hans and
Vijay-Shanker, K. and
Weir, David and
Wiren, Mats",
booktitle = "Proceedings of the Sixth International Workshop on Parsing Technologies",
month = feb # " 23-25",
year = "2000",
address = "Trento, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2000.iwpt-1.7",
pages = "41--52",
abstract = "Different NLP applications have different efficiency constraints (i.e. quality of the results and throughput) that reflect on each core linguistic component. Syntactic processors are basic modules in some NLP application. A customization that permits the performance control of these components enables their reuse in different application scenarios. Throughput has been commonly improved using partial syntactic processors. On the other hand, specialized lexicons are generally employed to improve the quality of the syntactic material produced by specific parsing (sub)process (e.g. verb argument detection or PP attachment disambiguation) . Building upon the idea of grammar stratification, in this paper a method to push modularity and lexical sensitivity, in parsing, in view of customizable syntactic analysers is presented. A framework for modular parser design is proposed and its main properties are discussed. Parsers (i.e. different parsing module chains) are then presented and their performances are analyzed in an application-driven scenarios.",
}
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<abstract>Different NLP applications have different efficiency constraints (i.e. quality of the results and throughput) that reflect on each core linguistic component. Syntactic processors are basic modules in some NLP application. A customization that permits the performance control of these components enables their reuse in different application scenarios. Throughput has been commonly improved using partial syntactic processors. On the other hand, specialized lexicons are generally employed to improve the quality of the syntactic material produced by specific parsing (sub)process (e.g. verb argument detection or PP attachment disambiguation) . Building upon the idea of grammar stratification, in this paper a method to push modularity and lexical sensitivity, in parsing, in view of customizable syntactic analysers is presented. A framework for modular parser design is proposed and its main properties are discussed. Parsers (i.e. different parsing module chains) are then presented and their performances are analyzed in an application-driven scenarios.</abstract>
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%0 Conference Proceedings %T Customizable Modular Lexicalized Parsing %A Basili, R. %A Pazienza, M. T. %A Zanzotto, F. M. %Y Lavelli, Alberto %Y Carroll, John %Y Berwick, Robert C. %Y Bunt, Harry C. %Y Carpenter, Bob %Y Church, Ken %Y Johnson, Mark %Y Joshi, Aravind %Y Kaplan, Ronald %Y Kay, Martin %Y Lang, Bernard %Y Lavie, Alon %Y Nijholt, Anton %Y Samuelsson, Christer %Y Steedman, Mark %Y Stock, Oliviero %Y Tanaka, Hozumi %Y Tomita, Masaru %Y Uszkoreit, Hans %Y Vijay-Shanker, K. %Y Weir, David %Y Wiren, Mats %S Proceedings of the Sixth International Workshop on Parsing Technologies %D 2000 %8 feb 23 25 %I Association for Computational Linguistics %C Trento, Italy %F basili-etal-2000-customizable %X Different NLP applications have different efficiency constraints (i.e. quality of the results and throughput) that reflect on each core linguistic component. Syntactic processors are basic modules in some NLP application. A customization that permits the performance control of these components enables their reuse in different application scenarios. Throughput has been commonly improved using partial syntactic processors. On the other hand, specialized lexicons are generally employed to improve the quality of the syntactic material produced by specific parsing (sub)process (e.g. verb argument detection or PP attachment disambiguation) . Building upon the idea of grammar stratification, in this paper a method to push modularity and lexical sensitivity, in parsing, in view of customizable syntactic analysers is presented. A framework for modular parser design is proposed and its main properties are discussed. Parsers (i.e. different parsing module chains) are then presented and their performances are analyzed in an application-driven scenarios. %U https://aclanthology.org/2000.iwpt-1.7 %P 41-52
Markdown (Informal)
[Customizable Modular Lexicalized Parsing](https://aclanthology.org/2000.iwpt-1.7) (Basili et al., IWPT 2000)
- Customizable Modular Lexicalized Parsing (Basili et al., IWPT 2000)
ACL
- R. Basili, M. T. Pazienza, and F. M. Zanzotto. 2000. Customizable Modular Lexicalized Parsing. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 41–52, Trento, Italy. Association for Computational Linguistics.