Extracting noun phrases from large-scale texts: a hybrid approach and its automatic evaluation

Authors:
Kuang-hua Chen;Hsin-Hsi Chen
Affiliations:
National Taiwan University, Taipei, Taiwan, R.O.C.;National Taiwan University, Taipei, Taiwan, R.O.C.
Venue:
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Year:
1994

Citing 6
Cited 12

Extracting collocations from text. An application: language generation

Extracting collocations from text. An application: language generation
Structural ambiguity and lexical relations

Computational Linguistics - Special issue on using large corpora: I
A stochastic parts program and noun phrase parser for unrestricted text

ANLC '88 Proceedings of the second conference on Applied natural language processing
A probabilistic parser

EACL '85 Proceedings of the second conference on European chapter of the Association for Computational Linguistics
Noun classification from predicate-argument structures

ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Surface grammatical analysis for the extraction of terminological noun phrases

COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3

Notes Explorer: entity-based retrieval in shared, semi-structured information spaces

CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
Unit Completion for a Computer-aided Translation Typing System

Machine Translation
Implementing a Semantic Lexicon

ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
Unit completion for a computer-aided translation typing system

ANLC '00 Proceedings of the sixth conference on Applied natural language processing
A state of the art of Thai Language resources and Thai Language behavior analysis and modeling

COLING '02 Proceedings of the 3rd workshop on Asian language resources and international standardization - Volume 12
An NTU-approach to automatic sentence extraction for summary generation

TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Identifying synonymous concepts in preparation for technology mining

Journal of Information Science
Improving effectiveness of mutual information for substantival multiword expression extraction

Expert Systems with Applications: An International Journal
Interest-determining web browser

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Identification of maximal-length noun phrases based on expanded chunks and classified punctuations in chinese

ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Identifying well-formed biomedical phrases in MEDLINE® text

Journal of Biomedical Informatics
What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings

Decision Support Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

To acquire noun phrases from running texts is useful for many applications, such as word grouping, terminology indexing, etc. The reported literatures adopt pure probabilistic approach, or pure rule-based noun phrases grammar to tackle this problem. In this paper, we apply a probabilistic chunker to deciding the implicit boundaries of constituents and utilize the linguistic knowledge to extract the noun phrases by a finite state mechanism. The test texts are SUSANNE Corpus and the results are evaluated by comparing the parse field of SUSANNE Corpus automatically. The results of this preliminary experiment are encouraging.