Data processing: speech signal processing – linguistics – language – Linguistics – Natural language
Reexamination Certificate
2007-12-04
2007-12-04
Dorvil, Richemond (Department: 2626)
Data processing: speech signal processing, linguistics, language
Linguistics
Natural language
C704S001000
Reexamination Certificate
active
10231732
ABSTRACT:
A system and method of summarizing text comprising performing structural summarization of a source text and compressing at least one relationship in the structural summarization.
REFERENCES:
patent: 5870709 (1999-02-01), Bernstein
patent: 6112168 (2000-08-01), Corston et al.
patent: 6161091 (2000-12-01), Akamine
patent: 6205456 (2001-03-01), Nakao
patent: 6224383 (2001-05-01), Shannon
patent: 6299452 (2001-10-01), Wasowicz
patent: 6324507 (2001-11-01), Lewis
patent: 6349316 (2002-02-01), Fein et al.
patent: 6389435 (2002-05-01), Golovchinsky et al.
patent: 6952666 (2005-10-01), Weise
patent: 2002/0046018 (2002-04-01), Marcu et al.
patent: 2002/0083104 (2002-06-01), Polanyi et al.
patent: 2002/0194230 (2002-12-01), Polanyi et al.
patent: 2003/0115080 (2003-06-01), Kasravi et al.
Mani, Inderjeet et al., “Machine Learning of Generic and User-Focused Summarization”,Proceedings Of The Fifteenth National/Tenth Conference On Artificial Intelligence/Innovative Applications Of Artificial Intelligence Table Of Contents, pp. 820-826, (1998).
Martin J.R., “English Text: System and Structure,”Benjamins: Philadelphia and Amsterdam, (1992), pp. 344-348.
Williams, Carl E.,Emotions and Speech: Some Acoustical Correlates,inThe Journal of the Acoustical Society of America, vol. 52, No. 4 (Part 2) 1972, pp. 1238-1250.
Mozziconacci, S.J.L. et al.,Role of Intonation Patterns in Conveying Emotion in Speech, ICPhS99, San Francisco, pp. 2001-2004, (1999).
Connor, Ulla,Constrastive Rhetoric Cross-cultural Aspects of Second-Language Writing, Cambridge University Press, pp. 14-25, 1996.
Nakatani, Christine Hisayo,The Computation Processing of Intonational Prominence: A Functional Prosody Perspective, Thesis paper presented by author to Division of Engineering and Applied Science, Harvard University, Cambridge, Massachusetts, 116 pages, May 1997.
Pierrehumbert, Janet and Julia Hirschberg,The Meaning of Intonational Contours in the Interpretation of Discourse, Chapter 14 of Intentions in Communication, Cohen, Philip, et al., editors, 39 pages (1990).
Cauldwell, Richard, “Tones, Attitudinal Meanings, and Context”, Speak Out! Newsletter of the IATEFL Pronunciation Special Interest Group, No. 21, Dec. 1997, pp. 30-35.
Skorochodko, E., “Adaptive Method of Automatic Abstracting and Indexing,”In Information Processing, vol. 2, North-Holland Publishing Company (1971) pp. 1179-1182.
Grefenstette, Gregory, Producing intelligent telegraphic text reduction to provide an audio scanning service for the blind. InAAAI 98 Spring Symposium on Intelligent Text Summarization, pp. 111-117, 1998.
Maynard, Senko K.Principles of Japanese Discourse: A Handbook, Cambridge University Press, pp. 23-98, 1998.
Longacre, R.E., “An Anatomy of Speech Notions,”The Peter de Ridder Press, Lisse (1976).
Halliday, M.A., et al., “Text and Context: Aspects of Language in a Social Semiotic Perspective,”Geelong:Vic.: Deakin University Press(1985).
Polanyi, L., et al., “On the Recursive Structure of Discourse,” In: K. Ehrlich and H. van Riemsdijk (eds),Connectedness in Sentence, Discourse and Text(1983) Tilburg University, (1983) pp. 141-178.
Appelt, D. et al.,Introduction to Information Extraction Technology, Artificial Intelligence Center, SRI International, pp. 1-41 (1999).
Bryant, G. et al.,Recognizing Verbal Irony in Spontaneous Speech, Lawrence Erlbaum Associates, Inc., University of California, Santa Cruz, Metaphor and Symbol, 17(2), pp. 99-117, 2002.
Cauldwell.Where did the Anger go? The Role of Context in Interpreting Emotion in Speech, The University of Buckingham, EISU, Department of English, The University of Birmingham, 5 pages.
Corston-Oliver, S.,Text Compacting for Display on Very Small Screens, in North American Chapter of the Association of Computational Linguist (NAACL) 2001 Language Technologies Workshops, Jun. 3-4, 2001.
Hovy, Eduard et al., “Automated text Summarization in SUMMARIST”, In Advances in Automatic Text Summarization, 14 pages Aug. 8, 1997.
Lin, C., Knowledge-based Automatic Topic Identification, inProceedings of the 33rdAnnual Meeting of the Association for Computational Linguistics(ACL-95) (1995) pp. 308-310.
Marcu, Daniel “The Rhetorical Parsing of Natural Language Texts”, inThe Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, (ACL'97/EACL'97) pp. 96-103, Madrid, Spain, Jul. 7-10, 1997.
Marshall, C.C., et al., Aquanet: A Hypertext Tool to Hold Your Knowledge in Place,@Proceedings of Third ACM Conference on Hypertext Hypertext >91, San Antonio, Texas (1991) pp. 261-275.
Polanyi, L., et al., A Syntactic Approach to Discourse Semantics, inProceedings of the 6thInternational Conference on Computational Linguistics, Stanford, California (1984).
Scott, Mike, et al., editors “Patterns of Lexis in Text,”Oxford University Press, introduction page, (1991).
Tatham, et al.,Modelling Speech Prosodics for Synthesis-Perspectives and Trials, IEE Seminar, State-Of-The-Art In Speech Synthesis, London, Apr. 2000.
Wichmann, A.,The Attitudinal Effects of Prosody, and How They Relate to Emotion. Department of Cultural Studies, University of Central Lancashire, Preston PR1 2 HE, UK, 5 pages.
Barzilay, R., et al., “Using Lexical Chains forText Summarization,”In Proceedings of the ACL '97/EACL'97 Workshop on Intelligent Scalable Text Summarization, (1997) pp. 10-17.
Halliday, M.A.K., et al., “Cohesion in English,” London:Longmans (1976).
Hoey, M., “Patterns of Lexis in Text,”Oxford University Press(1991).
Lin, C., et al., “Identifying Topics by Position,”In Proceedings of the Fifth Conference on Applied Natural Language Processing, (ANLP-97) (1997) pp. 287-290.
Longacre, R.E., “Discourse Analysis and Literacy,” In Gorman, Thomas P. (editor) Language and Literacy, Tehran, Iran, International Association for Adult Literacy Methods (1977) 301, pp. 71-87.
Joyce, M., “Storyspace as a Hypertext System for Writers and Readers of Varying Ability,”Hypertext 91 Proceedings, ACM, Baltimore (1991) pp. 381-389.
Marcu, D., “Discourse Trees Are Good Indicators of Importance in Text,” In I. Mani and M. Maybury editors,Advances in Automatic Text Summarization, The MIT Press, (1999) pp. 123-136.
Polanyi, L., et al., “Discourse Structure and Discourse Interpretation,”In Proceedings of the Tenth Amsterdam Colloquium, ILLC, Amsterdam (1996).
Sparck Jones, K., “What Might Be in a Summary?”In Information Retrieval 93: Von der Modellierung zur Anwendung, (1993b) pp. 9-26.
Teufel, S., et al., “Sentence Extraction as a Classification Task,”In Proceedings of the ACL '97/EACL'97 Workshop on Intelligent Scalable Text Summarization(1997) pp. 58-65.
Stone, M., et al., “Sentence Planning as Description Using Tree Adjoining Grammar,”Department of Computer and Information Science and Department of Linguistics, University of Pennsylvania, Philadelphia, PA., 8 pages.
Ansari, D., et al., “Generating Warning Instructions by Planning Accidents and Injuries,”Department of Computer Science, University of Toronto, Toronto, Ontario (1995) 10 pages.
Dalianis, H., “Aggregation as a Subtask of Text and Sentence Planning,”Department of Computer and Systems Sciences, The Royal Institute of Technology and Stockholm University, 5 pages.
Rambow, O., et al., “Natural Language Generation in Dialog Systems,”AT&T Labs- Research, Florham Park, NJ, USA, 4 pages.
Mellish, C., et al., “Experiments Using Stochastic Search for Text Planning,”Department of Artificial Intelligence and Human Communication Research Centre, University of Edinburgh U.K. pp. 1-10.
Kan, M., et al., “Applying Natural Language Generation to Indicative Summarization,”Department of Computer Science and Center for Research on Information Access, Columbia University, New York, NY, 9 pages.
Prüst, H., et al., “
Polanyi Livia
van den Berg Martin H.
Dorvil Richemond
Fliesler & Meyer LLP
saint-Cyr Leonard
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