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A patent search and classification system

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Leah S. LarkeyAuthors Info & Claims

DL '99: Proceedings of the fourth ACM conference on Digital libraries

Pages 179 - 187

https://doi.org/10.1145/313238.313304

Published: 01 August 1999 Publication History

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References

[1]

Allan, J., Callan, J., Croft, W. B., Ballesteros, L., Broglio, J., Xu, J., and Shu, H. 1997. INQUERY at TREC-5. In Proceedings of The Fifth Text REtrieval Conference (TREC-5), 119-132. Gaithersburg, MD: NIST special publication 500- 238.

Google Scholar

[2]

Callan, J., Croft, W. B., and Broglio, J. 1994. TREC and TIPSTER Experiments with INQUERY. Information Processing and Management, 31(3):327-343.

Digital Library

Google Scholar

[3]

Callan, J., Lu, Z., and Croft, W.B. 1995. Searching distributed collections with inference networks. In Proceedings of the 18 th Annual ACM-SIGIR International Conference on Research and Development in Information Retrieval, 21-28.

Digital Library

Google Scholar

[4]

Duda, R.O, and Hart, P.E. 1973. Pattern Classification and Scene Analysis. New York: John Wiley & Sons.

Digital Library

Google Scholar

[5]

Fellbaum, Christiane. 1998. WordNet: An Electronic Lexical Database, Cambridge: MIT Press.

Google Scholar

[6]

Krovetz, R. 1993. Viewing Morphology as an Inference Process. In Proceedings of the 16 th Annual International ACM- SIGIR Conference on Research and Development in Information Retrieval, 191-203. Pittsburgh: ACM Press.

Digital Library

Google Scholar

[7]

Larkey, L. S. 1998. Some Issues in the Automatic Classification of U.S. Patents. In Learning for Text Categorization. Papers from the 1998 Workshop. AAAI Press, Technical Report WS-98-05, pp. 87-90.

Google Scholar

[8]

Larkey, L. S. 1998. Automated Essay Grading using Text Categorization Techniques. In Proceedings of the 21 st Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 90-95.

Digital Library

Google Scholar

[9]

Larkey, L. S., and Croft, W.B. 1996. Combining Classifiers in Text Categorization. In Proceedings of the 19 th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 289-297.

Digital Library

Google Scholar

[10]

Mitra, M., Singhal, A., and Buckley, C. Improving Automatic Query Expansion. In Proceedings of the 21 st Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 206-214.

Digital Library

Google Scholar

[11]

U.S. Patent and Trademark Office. 1985. Patent Full-Text APS File. Technical Report, Office of Information Products, Administrator for Dissemination.

Google Scholar

[12]

Xu, J. and Callan, J. 1998. Effective Retrieval with distributed collections. In Proceedings of the 21 st Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 112-120.

Digital Library

Google Scholar

[13]

Yang, Y. 1997. An Evaluation of Statistical Approaches to Text Categorization. Technical Report, CMU-CS-97-127, Computer Science Department, Carnegie Mellon University.

Google Scholar

[14]

Xu, J. and Croft, W. B. 1994. The Design and Implementation of a Part of Speech Tagger for English. CIIR Technical Report, IR-52, Dept. of Computer Science, Univ. of Massachusetts.

Digital Library

Google Scholar

[15]

Xu, J. and Croft, W.B. 1996. Query Expansion using Local and Global Document Analysis. In Proceedings of the 19th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 4-11.

Digital Library

Google Scholar

Cited By

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Yu LLiu BLin QZhao XChe C(2024)Similarity Matching for Patent Documents Using Ensemble BERT-Related Model and Novel Text Processing MethodJournal of Advances in Information Technology10.12720/jait.15.3.446-45015:3(446-450)Online publication date: 2024
https://doi.org/10.12720/jait.15.3.446-450
Zanella GLiu CChoo K(2023)Understanding the Trends in Blockchain Domain Through an Unsupervised Systematic Patent AnalysisIEEE Transactions on Engineering Management10.1109/TEM.2021.307431070:6(1991-2005)Online publication date: Jun-2023
https://doi.org/10.1109/TEM.2021.3074310
Xu GDong FFeng J(2022)Mapping the Technological Landscape of Emerging Industry Value Chain Through a Patent Lens: An Integrated Framework With Deep LearningIEEE Transactions on Engineering Management10.1109/TEM.2020.304193369:6(3367-3378)Online publication date: Dec-2022
https://doi.org/10.1109/TEM.2020.3041933
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A patent search and classification system

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Published In

DL '99: Proceedings of the fourth ACM conference on Digital libraries

August 1999

274 pages

ISBN:1581131453

DOI:10.1145/313238

Chairmen:
Neil Rowe
Naval Postgraduate School
,
Edward A. Fox
Virginia Tech

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 1999

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DL99: Digital Libraries'99

August 11 - 14, 1999

California, Berkeley, USA

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DL '99 Paper Acceptance Rate 23 of 114 submissions, 20%;

Overall Acceptance Rate 95 of 346 submissions, 27%

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Cited By

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Yu LLiu BLin QZhao XChe C(2024)Similarity Matching for Patent Documents Using Ensemble BERT-Related Model and Novel Text Processing MethodJournal of Advances in Information Technology10.12720/jait.15.3.446-45015:3(446-450)Online publication date: 2024
https://doi.org/10.12720/jait.15.3.446-450
Zanella GLiu CChoo K(2023)Understanding the Trends in Blockchain Domain Through an Unsupervised Systematic Patent AnalysisIEEE Transactions on Engineering Management10.1109/TEM.2021.307431070:6(1991-2005)Online publication date: Jun-2023
https://doi.org/10.1109/TEM.2021.3074310
Xu GDong FFeng J(2022)Mapping the Technological Landscape of Emerging Industry Value Chain Through a Patent Lens: An Integrated Framework With Deep LearningIEEE Transactions on Engineering Management10.1109/TEM.2020.304193369:6(3367-3378)Online publication date: Dec-2022
https://doi.org/10.1109/TEM.2020.3041933
Ren PXiao YChang XHuang PLi ZGupta BChen XWang X(2021)A Survey of Deep Active LearningACM Computing Surveys10.1145/347229154:9(1-40)Online publication date: 8-Oct-2021
https://dl.acm.org/doi/10.1145/3472291
Sinha PTripathi RPujari SBalabantaray RThind PKar S(2021)Conceptual Search for Patent Similarity Match2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON)10.1109/GUCON50781.2021.9573953(1-5)Online publication date: 24-Sep-2021
https://doi.org/10.1109/GUCON50781.2021.9573953
Gadasina LVeklenko VLuukka P(2021)Summarization Algorithms for News: A Study of the Coronavirus Theme and Its Impact on the News Extracting AlgorithmComputational Data and Social Networks10.1007/978-3-030-91434-9_30(351-360)Online publication date: 4-Dec-2021
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Urkaewa KBabalova IZareshin S(2021)Formation and Analysis of the Patent Database on Computer TechnologiesAdvances in Automation II10.1007/978-3-030-71119-1_47(479-488)Online publication date: 19-Mar-2021
https://doi.org/10.1007/978-3-030-71119-1_47
Jalal JSingh MPal ADey LMukherjee AHuang RWu DMarchionini GHe DCunningham SHansen P(2020)Identification, Tracking and Impact: Understanding the Trade Secret of CatchphrasesProceedings of the ACM/IEEE Joint Conference on Digital Libraries in 202010.1145/3383583.3398512(67-76)Online publication date: 1-Aug-2020
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Yun JGeum Y(2020)Automated classification of patents: a topic modeling approachComputers & Industrial Engineering10.1016/j.cie.2020.106636(106636)Online publication date: Jul-2020
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Sanguri KBhuyan APatra S(2020)A semantic similarity adjusted document co-citation analysis: a case of tourism supply chainScientometrics10.1007/s11192-020-03608-0125:1(233-269)Online publication date: 20-Jul-2020
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