Article

Free access

University of Sheffield: description of the LaSIE system as used for MUC-6

Authors:

R. Gaizauskas,

K. Humphreys,

H. Cunningham,

Y. WilksAuthors Info & Claims

MUC6 '95: Proceedings of the 6th conference on Message understanding

Pages 207 - 220

https://doi.org/10.3115/1072399.1072418

Published: 06 November 1995 Publication History

PDF eReader

Abstract

The LaSIE (Large Scale Information Extraction) system has been developed at the University of Sheffield as part of an ongoing research effort into information extraction and, more generally, natural language engineering.

References

[1]

{Bri94} E. Brill. Some advances in transformation-based part of speech tagging. In Proceedings of AAAI, 1994.

Digital Library

Google Scholar

[2]

{CGJ+93} J. Cowie, L. Guthrie, W. Jin, R. Wang, T. Wakao, J. Pustejovsky, and S. Waterman. Description of the Diderot system as used for MUC-5. In Proceedings of the Fifth Message Undersanding Conference (MUC-5). ARPA, Morgan Kaufmann, 1993.

Digital Library

Google Scholar

[3]

{Gai95a} R. Gaizauskas. Investigations into the grammar underlying the Penn Treebank II. Research Memorandum CS-95-25, Department of Computer Science, Univeristy of Sheffield, 1995.

Google Scholar

[4]

{Gai95b} R. Gaizauskas. XI: A knowledge representation language based on cross-classification and inheritance. Research Memorandum CS-95-24, Department of Computer Science, Univeristy of Sheffield, 1995.

Google Scholar

[5]

{GCE93} R. Gaizauskas, L. J. Cahill, and R. Evans. Description of the sussex system used for MUC-5. In Proceedings of the Fifth Message Undersanding Conference (MUC-5). ARPA, Morgan Kaufmann, 1993.

Digital Library

Google Scholar

[6]

{Hor80} A. S. Hornby, editor. Oxford Advanced Learner's Dictionary of Current English. Oxford Univeristy Press, 1980.

Google Scholar

[7]

{Mil90} G. Miller. Wordnet: An on-line lexical database. International Journal of Lexicography, 3(4), 1990.

Crossref

Google Scholar

[8]

{MKM+95} M. Marcus, G. Kim, M. A. Marcinkiewicz, R. MacIntyre, A. Bies, M. Ferguson, K. Katz, and B. Schasberger. The Penn Treebank: Annotating predicate argument structure. Distributed on The Penn Treebank Release 2 CD-ROM by the Linguisitc Data Consortium, 1995.

Digital Library

Google Scholar

[9]

{MSM93} M. P. Marcus, B. Santorini, and M. A. Marcinkiewicz. Building a large annotated corpus of english: The Penn Treebank. Computational Linguistics, 19(2):313--330, 1993.

Digital Library

Google Scholar

[10]

{WMS+93} R. Weischedel, M. Meteer, R. Schwartz, L. Ramshaw, and J. Palmucci. Coping with ambiguity and unknown words through probabilistic models. Computational Linguistics (Special Issue on Using Large Corpora: II), 19:359--382, 1993.

Digital Library

Google Scholar

Cited By

View all

Alasiry ALevene MPoulovassilis ADesai BBernardino JAlmeida ADesai B(2014)Mining named entities from search engine query logsProceedings of the 18th International Database Engineering & Applications Symposium10.1145/2628194.2628224(46-56)Online publication date: 7-Jul-2014
https://dl.acm.org/doi/10.1145/2628194.2628224
Guo JXu GCheng XLi HAllan JAslam JSanderson MZhai CZobel J(2009)Named entity recognition in queryProceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval10.1145/1571941.1571989(267-274)Online publication date: 19-Jul-2009
https://dl.acm.org/doi/10.1145/1571941.1571989
Xu GYang SLi HElder JFogelman FFlach PZaki M(2009)Named entity mining from click-through data using weakly supervised latent dirichlet allocationProceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/1557019.1557165(1365-1374)Online publication date: 28-Jun-2009
https://dl.acm.org/doi/10.1145/1557019.1557165
Show More Cited By

Recommendations

Sheffield University CLEF 2000 Submission - Bilingual Track: German to English
CLEF '00: Revised Papers from the Workshop of Cross-Language Evaluation Forum on Cross-Language Information Retrieval and Evaluation

We investigated dictionary based cross language information retrieval using lexical triangulation. Lexical triangulation combines the results of different transitive translations. Transitive translation uses a pivot language to translate between two ...
University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6
MUC6 '95: Proceedings of the 6th conference on Message understanding

Breck Baldwin and Jeff Reynar informally began the University of Pennsylvania's MUC-6 coreference effort in January of 1995. For the first few months, tools were built and the system was extended at weekly 'hack sessions.' As more people began attending ...
University of Manitoba: description of the PIE system used for MUC-6
MUC6 '95: Proceedings of the 6th conference on Message understanding

The PIE (Principar-driven Information Extraction) system takes a different approach to the problem of information extraction from the NUBA system that was used in MUC-5. The NUBA system did not have a parser and relies on an abductive reasoner to ...

Comments

Information & Contributors

Information

Published In

MUC6 '95: Proceedings of the 6th conference on Message understanding

November 1995

353 pages

ISBN:1558604022

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 06 November 1995

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

26
Total Citations
View Citations
419
Total Downloads

Downloads (Last 12 months)77
Downloads (Last 6 weeks)14

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Alasiry ALevene MPoulovassilis ADesai BBernardino JAlmeida ADesai B(2014)Mining named entities from search engine query logsProceedings of the 18th International Database Engineering & Applications Symposium10.1145/2628194.2628224(46-56)Online publication date: 7-Jul-2014
https://dl.acm.org/doi/10.1145/2628194.2628224
Guo JXu GCheng XLi HAllan JAslam JSanderson MZhai CZobel J(2009)Named entity recognition in queryProceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval10.1145/1571941.1571989(267-274)Online publication date: 19-Jul-2009
https://dl.acm.org/doi/10.1145/1571941.1571989
Xu GYang SLi HElder JFogelman FFlach PZaki M(2009)Named entity mining from click-through data using weakly supervised latent dirichlet allocationProceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/1557019.1557165(1365-1374)Online publication date: 28-Jun-2009
https://dl.acm.org/doi/10.1145/1557019.1557165
Kozareva ZVazquez SMontoyo A(2008)Domain information for fine-grained person name categorizationProceedings of the 9th international conference on Computational linguistics and intelligent text processing10.5555/1787578.1787610(311-321)Online publication date: 17-Feb-2008
https://dl.acm.org/doi/10.5555/1787578.1787610
Stevenson MGreenwood MCaliff MGreenwood MStevenson MYangarber R(2006)Comparing information extraction pattern modelsProceedings of the Workshop on Information Extraction Beyond The Document10.5555/1641408.1641410(12-19)Online publication date: 22-Jul-2006
https://dl.acm.org/doi/10.5555/1641408.1641410
Turmo JAgeno ACatalà N(2006)Adaptive information extractionACM Computing Surveys10.1145/1132956.113295738:2(4-es)Online publication date: 25-Jul-2006
https://dl.acm.org/doi/10.1145/1132956.1132957
Yeh PPorter BBarker KClark PSchreiber G(2005)Matching utterances to rich knowledge structures to acquire a model of the speaker's goalProceedings of the 3rd international conference on Knowledge capture10.1145/1088622.1088646(129-136)Online publication date: 2-Oct-2005
https://dl.acm.org/doi/10.1145/1088622.1088646
Paliouras G(2005)On the need to bootstrap ontology learning with extraction grammar learningProceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge10.1007/11524564_8(119-135)Online publication date: 17-Jul-2005
https://dl.acm.org/doi/10.1007/11524564_8
Sandrini VFederico M(2003)Spoken information extraction from Italian broadcast newsProceedings of the 25th European conference on IR research10.5555/1757788.1757803(146-160)Online publication date: 14-Apr-2003
https://dl.acm.org/doi/10.5555/1757788.1757803
Babych BHartley AMaegaard B(2003)Improving machine translation quality with automatic named entity recognitionProceedings of the 7th International EAMT workshop on MT and other Language Technology Tools, Improving MT through other Language Technology Tools: Resources and Tools for Building MT10.5555/1609822.1609823(1-8)Online publication date: 13-Apr-2003
https://dl.acm.org/doi/10.5555/1609822.1609823
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Recommendations

Sheffield University CLEF 2000 Submission - Bilingual Track: German to English

University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6

University of Manitoba: description of the PIE system used for MUC-6

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations