Fandom

Scratchpad

Information extraction bibliography

219,204pages on
this wiki
Add New Page
Discuss this page0 Share


Misc


[With contributions rom W. Cohen's IE tutorial, Shivakumar Vaithyanathan, and DBLife]

Tutorials / Overviews

  • J. Cowie, W. Lehnert, Information Extraction, Communications of the ACM, 39 (1), 1996
  • Andrew McCallum's recent survey in ACM Queue.
  • Ion Muslea, "Extraction Patterns for Information Extraction Tasks: A Survey", The AAAI-99 Workshop on Machine Learning for Information Extraction.
  • D. Appelt et. al, "Introduction to Information Extraction Technology", IJCAI-99 Tutorial
  • Line Eikvil, "Information Extraction from World Wide Web A Survey“, Report No. 945, July, 1999. ISBN 82-539-0429-0

Data Sources / Tools

  • MinorThird [7]

Papers

  • [Bikel et al 1997] Bikel, D.; Miller, S.; Schwartz, R.; and Weischedel, R. Nymble: a high-performance learning name-finder. In Proceedings of ANLP’97, p194-201.
  • [Califf & Mooney 1999], Califf, M.E.; Mooney, R.: Relational Learning of Pattern-Match Rules for Information Extraction, in Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99).
  • [Cohen, Hurst, Jensen, 2002] Cohen, W.; Hurst, M.; Jensen, L.: A flexible learning system for wrapping tables and lists in HTML documents. Proceedings of The Eleventh International World Wide Web Conference (WWW-2002)
  • [Cohen, Kautz, McAllester 2000] Cohen, W; Kautz, H.; McAllester, D.: Hardening soft information sources. Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining (KDD-2000).
  • [Cohen, 1998] Cohen, W.: Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity, in Proceedings of ACM SIGMOD-98.
  • [Cohen, 2000a] Cohen, W.: Data Integration using Similarity Joins and a Word-based Information Representation Language, ACM Transactions on Information Systems, 18(3).
  • [Cohen, 2000b] Cohen, W. Automatically Extracting Features for Concept Learning from the Web, Machine Learning: Proceedings of the Seventeeth International Conference (ML-2000).
  • [Collins & Singer 1999] Collins, M.; and Singer, Y. Unsupervised models for named entity classification. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 1999.
  • [De Jong 1982] De Jong, G. An Overview of the FRUMP System. In: Lehnert, W. & Ringle, M. H. (eds), Strategies for Natural Language Processing. Larence Erlbaum, 1982, 149-176.
  • [Freitag 98] Freitag, D: Information extraction from HTML: application of a general machine learning approach, Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98).
  • [Freitag, 1999], Freitag, D. Machine Learning for Information Extraction in Informal Domains. Ph.D. dissertation, Carnegie Mellon University.
  • [Freitag 2000], Freitag, D: Machine Learning for Information Extraction in Informal Domains, Machine Learning 39(2/3): 99-101 (2000).
  • Freitag & Kushmerick, 1999] Freitag, D; Kushmerick, D.: Boosted Wrapper Induction. Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99)
  • [Freitag & McCallum 1999] Freitag, D. and McCallum, A. Information extraction using HMMs and shrinakge. In Proceedings AAAI-99 Workshop on Machine Learning for Information Extraction. AAAI Technical Report WS-99-11.
  • [Kushmerick, 2000] Kushmerick, N: Wrapper Induction: efficiency and expressiveness, Artificial Intelligence, 118(pp 15-68).
  • [Lafferty, McCallum & Pereira 2001] Lafferty, J.; McCallum, A.; and Pereira, F., Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, In Proceedings of ICML-2001.
  • [Leek 1997] Leek, T. R. Information extraction using hidden Markov models. Master’s thesis. UC San Diego.
  • [McCallum, Freitag & Pereira 2000] McCallum, A.; Freitag, D.; and Pereira. F., Maximum entropy Markov models for information extraction and segmentation, In Proceedings of ICML-2000
  • [Miller et al 2000] Miller, S.; Fox, H.; Ramshaw, L.; Weischedel, R. A Novel Use of Statistical Parsing to Extract Information from Text. Proceedings of the 1st Annual Meeting of the North American Chapter of the ACL (NAACL), p. 226 - 233.
  • [Muslea et al, 1999] Muslea, I.; Minton, S.; Knoblock, C. A.: A Hierarchical Approach to Wrapper Induction. Proceedings of Autonomous Agents-99.
  • [Muslea et al, 2000] Musclea, I.; Minton, S.; and Knoblock, C. Hierarhical wrapper induction for semistructured information sources. Journal of Autonomous Agents and Multi-Agent Systems.
  • [Nahm & Mooney, 2000] Nahm, Y.; and Mooney, R. A mutually beneficial integration of data mining and information extraction. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 627--632, Austin, TX.
  • [Punyakanok & Roth 2001] Punyakanok, V.; and Roth, D. The use of classifiers in sequential inference. Advances in Neural Information Processing Systems 13.
  • [Ratnaparkhi 1996] Ratnaparkhi, A., A maximum entropy part-of-speech tagger, in Proc. Empirical Methods in Natural Language Processing Conference, p133-141.
  • [Ray & Craven 2001] Ray, S.; and Craven, Ml. Representing Sentence Structure in Hidden Markov Models for Information Extraction. Proceedings of the 17th International Joint Conference on Artificial Intelligence, Seattle, WA. Morgan Kaufmann.
  • [Soderland 1997]: Soderland, S.: Learning to Extract Text-Based Information from the World Wide Web. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97).
  • [Soderland 1999] Soderland, S. Learning information extraction rules for semi-structured and free text. Machine Learning, 34(1/3):233-277.
  • Crawling the Hidden Web. Sriram Raghavan, Hector Garcia-Molina. VLDB 2001. (regular paper, data extraction from the web)
  • RoadRunner: Towards Automatic Data Extraction from Large Web Sites. Valter Crescenzi, Giansalvatore Mecca, Paolo Merialdo. VLDB 2001. (regular paper, data extraction from the web)
  • Visual Web Information Extraction with Lixto. Robert Baumgartner, Sergio Flesca, Georg Gottlob. VLDB 2001. (regular paper, data extraction from the web)

Additional Notes

Ad blocker interference detected!


Wikia is a free-to-use site that makes money from advertising. We have a modified experience for viewers using ad blockers

Wikia is not accessible if you’ve made further modifications. Remove the custom ad blocker rule(s) and the page will load as expected.

Also on Fandom

Random wikia