Summarisation representation apparatus

Education and demonstration – Language – Spelling – phonics – word recognition – or sentence formation

Reexamination Certificate

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Reexamination Certificate

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10609419

ABSTRACT:
At least one topic in text data is determined by a topic determiner (4). A topic thread determiner (5) identifies in the text data context data associated with the at least one determined topic and provides topic representation data defining a graphical representation of the at least one topic in which are distributed visual indicia representing at least some of the context data with the distribution of the visual indicia indicating the positions within the text of the corresponding context data. The topic thread determiner (5) provides the topic representation data for display to a user on a display.

REFERENCES:
patent: 5083268 (1992-01-01), Hemphill et al.
patent: 5321608 (1994-06-01), Namba et al.
patent: 5619709 (1997-04-01), Caid et al.
patent: 5644776 (1997-07-01), DeRose et al.
patent: 5708825 (1998-01-01), Sotomayor
patent: 5838323 (1998-11-01), Rose et al.
patent: 5867164 (1999-02-01), Bornstein et al.
patent: 5918240 (1999-06-01), Kupiec et al.
patent: 5924108 (1999-07-01), Fein et al.
patent: 5963965 (1999-10-01), Vogel
patent: 6167368 (2000-12-01), Wacholder
patent: 6185592 (2001-02-01), Boguraev et al.
patent: 6205456 (2001-03-01), Nakao
patent: 6317708 (2001-11-01), Witbrock et al.
patent: 6353824 (2002-03-01), Boguraev et al.
patent: 6493663 (2002-12-01), Ueda
patent: 6533822 (2003-03-01), Kupiec
patent: 6581057 (2003-06-01), Witbrock et al.
patent: 6820237 (2004-11-01), Abu-Hakima et al.
patent: 6823331 (2004-11-01), Abu-Hakima
patent: 6963830 (2005-11-01), Nakao
patent: 6985864 (2006-01-01), Nagao
patent: 7024658 (2006-04-01), Cohen et al.
patent: 2002/0184267 (2002-12-01), Nakao
patent: 2003/0028558 (2003-02-01), Kawatani
patent: 2003/0130837 (2003-07-01), Batchilo et al.
patent: 1 033 662 (2000-09-01), None
patent: 1 071 023 (2001-01-01), None
patent: 1 217 533 (2002-06-01), None
patent: 1 233 349 (2002-08-01), None
patent: 2 332 544 (1999-06-01), None
patent: 2-254566 (1990-10-01), None
patent: 5-158401 (1993-06-01), None
patent: 2000-200290 (2000-07-01), None
Vergne, J. “Tutorial: Trends in Robust Parsing”, Jul. 29, 2000.
Miller, George A., et al., “Introduction to WordNet: An On-line Lexical Database”, Cognitive Science Laboratory, Princeton University, Aug. 1993 (http://www.cogsci.princeton.edu/˜wn/).
Barzilay, R., et al. “Using Lexical Chains for Text Summarization”, Proceedings of the Intellig nt Scalable Text Summarization Workshop, Madrid 1997.
Barzilay, R., “Lexical Chains for Summarization”, M. Sc. Thesis, Ben-Gurion University of th Negev, Department of Mathematics & Computer Science, Nov. 30, 1997.
Edmundson, H.P., “New Methods in Automatic Extracting”, pp. 23-43 of “Advances in Automatic Text Summarisation” by Mani and Maybury, 1999.
Johnson, F.C., et al., “The application of linguistic processing to automatic abstract generation”, Journal of Document & Text Management, vol. 1, No. 3, 1993, pp. 215-241.
Boguraev, B., et al., “Dynamic Presentation of Document Content for Rapid On-Line Skimming”, AAAI Spring 1998 Symposium on Intelligent Text Summarization, Spring 1998.
I. Mani et al., “Multi-document Summarization by Graph Search and Matching”, available at http://arxiv.org.PS—cache/cmp-lg/pdf/9712/9712004.pdf, Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI'97), Dec. 10, 1997, pp. 622-628.
D. Lawrie et al., “Finding Topic Words for Hierarchical Summarization”, SIGIR '01, Sep. 9-12, 2001, New Orleans, LA, pp. 349-357 and presentation slides.
Roget's on-line thesaurus, available at http://humanities.uchicago.edu/orgs/ARTEL/forms—unrest/Roget.html.actual (date unknown).
Swan, R., et al., “TimeMines: Constructing Timelines with Statistical Models of Word Usage”, ACM SIGKDD 2000, Workshop on Text Mining, pp. 73-80, CIIR Technical Report IR-213, (2000) available at http://ciir.cs.umass.edu.
“NP Chunking”, available at http://lcg-www.uia.ac.be/˜erikt/research
p-chunking.html, Sep. 13, 2002.
I. Mani et al., “Automatic Summarization”, Chapter 4, John Benjamin Publishing Company, 2001, pp. 77-89.
S. Evert et al., “Methods for Qualitative Evaluation of Lexical Association Measures”, Proceedings of the 39thAnnual Meeting of the Association for Computational Linguistics, Toulouse, France, 2001.
D. Lin et al., presentation slides entitled “Collocation”, Department of Computing Science, University of Alberta, Feb. 5, 2002.
T. Dunning, “Accurate Methods for the Statistics of Surprise and Coincidence”, Computational Linguistics 19(1), 1993, available at http://citeseer.nj.nec.com/dunning93accurate/html.
“The Festival Speech Synthesis System”, Section 9.1 of the manual for that system, Nov. 20, 2002, available at http://www.cstr.ed.ac.uk/projects/festival/manual/festival—9.html.
M.A. Hearst, “Multi-Paragraph Segmentation of Expository Text”, 32ndAnnual Meeting of the Association for Computational Linguistics in 1994, available at http://citeseer.nj.nec.com/hearst94multiparagraph.html.
Armour, T., presentation slides entitled “Asymmetric Threat Initiative”, 2000, available at http://www.darpa.mil/darpatech2000/presentations/iso.pdf/4armouratb&wrev1.pdf.
Armour, T., “Asymmetric Threat Initiative”, 2000, available at http://www.darpa.mil/body/dar—archives.html.

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