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Computational Approaches

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Summarizing Information

Abstract

We have so far considered summarization and communication in communication situations which from a technical point of view were very simple. A typical mass communication situation was mentioned, where in contrast to face-to-face communication, the communicators do not have to be in the same place at the same time in order to communicate. However, the television channels, satellite dishes, telephones, and other telecommunications devices, all the technical equipment necessary to make spatiotemporally displaced communication possible, remained in the background. For the time being, we assumed that technical communication media do not affect the communication of contents in mass communication situations. It makes no difference whether the summary of the week’s stock exchange developments is transmitted via satellite or the telephone network. However, it does make a difference whether a summary is produced for television or radio, because the communication medium determines the presentation possibilities, and it does make a difference whether a summary has to comply with the constraints of an organized professional information environment or not.

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References

  1. Ayuso, D.; Boisen, S.; Fox, H.; Gish, H.; Ingria, R. Weischedel, R. (1992): BBN: Description of the PLUM system as used for MUC-4. MUC-4, pp. 169–176

    Google Scholar 

  2. Barzilay, R.; Elhadad, M. (1997): Using lexical chains for text summarization. MANI97, pp. 10–17

    Google Scholar 

  3. Boguraev, B.; Kennedy, C. (1997): Salience-based content characterization of text documents. MANI97, pp. 2–9

    Google Scholar 

  4. Borko, H. ed. (1968): Automated language processing. New York: Wiley

    MATH  Google Scholar 

  5. Brandow, R.; Mitze, K.; Rau, L.F. (1995): Automatic condensation of electronic publications by sentence selection. Information Processing and Management 31:5,675–685

    Article  Google Scholar 

  6. Claus, H. (1987): Zur Objektivierung der Inhaltserschliessung russischsprachiger Zeitschriftenliteratur des Fachgebietes Informationstechnik im Rahmen der wissenschaftlich-technischen Informationstätigkeit und der fachsprachlichen Fremdsprachenausbildung. [Improving the objectivity of content analysis of Russian information technology journals within the framework of scientific and technical information and of technical translation education]. PhD Thesis, University of Leipzig

    Google Scholar 

  7. (CRI92) CRI (1992): SIMPR at the SIGIR 1992 Conference Exhibition

    Google Scholar 

  8. Danes, F. (1974): Functional sentence perspective and the organization of text. Danes, F. ed.: Papers in functional sentence perspective, pp. 106–128. Den Haag: Mouton

    Google Scholar 

  9. DeJong, G. (1982): An overview of the FRUMP system. LEHN82, pp. 149–175

    Google Scholar 

  10. Edmundson, H. P. (1961): Automatic abstracting and indexing: Survey and recommendations. Comm. ACM 5:5,226–235

    Article  Google Scholar 

  11. Edmundson, H. P. (1963): Automatic abstracting. TRW Computer Division, Thompson Ramo Wooldridge, Inc., Canoga Park, CA

    Google Scholar 

  12. Edmundson, H.P. (1970): New methods in automatic extracting. J. ACM 16:2,264–285

    Article  Google Scholar 

  13. Fum, D.; Guida, G.; Tasso, C. (1982): Forward and backward reasoning in automatic abstracting. COLING-82: Proc. 9th International Conference on Computational Linguistics. Prague, pp. 83–88.

    Google Scholar 

  14. Fum, D.; Guida, G.; Tasso, C. (1984): A propositional language for text representation. Bara, B.G.; Guida, G. eds.: Computational models of natural language processing, pp. 121–150. Amsterdam: North-Holland

    Google Scholar 

  15. Fum, D.; Guida, G.; Tasso, C. (1985): Evaluating importance: A step towards text summarization. IJCAI-85: Proc. 9th International Joint Conference on Artificial Intelligence, pp. 840–844. Los Altos, CA: Kaufmann

    Google Scholar 

  16. Fum, D.; Guida, G.; Tasso, C. (1985): A rule-based approach to evaluating importance in descriptive texts. Proc. EACL85. Second conference of the European Chapter of the Association for Computational Linguistics. 25–29 March 1985, Geneva, Switzerland, pp. 244–250

    Google Scholar 

  17. Gibb, F.; Smart, G. (1990): Structured information management using new techniques for processing text. Online Review 14:3, 159–171

    Article  Google Scholar 

  18. Gibb, F. (1993): Knowledge-based indexing in SIMPR: Integration of natural language processing and principles of subject analysis in an automated indexing system. J. Document and Text Management 1:2,131–153

    Google Scholar 

  19. Hahn, U. (1990): TOPIC parsing: Accounting for text macro structures in full-text analysis. Information Processing and Management 26:1,135–170

    Article  Google Scholar 

  20. Hand, T. F. (1997): A proposal for task-based evaluation of text summarization systems. MANI97, pp. 31–38

    Google Scholar 

  21. Hearst, M.A.; Plaunt, C. (1993): Subtopic structuring for full-length document access. Proc. ACM-SIGIR ’93, pp. 59–68. New York: ACM

    Google Scholar 

  22. Hearst, M. (1994): Multi-paragraph segmentation of expository text. Proc. 32nd Annual Meeting of the Association for Computational Linguistics, Las Cruces, NM, June 27–30, pp. 9–16

    Google Scholar 

  23. Hovy, E. (1988): Generating natural language under pragmatic constraints. Hillsdale, NJ: Erlbaum

    Google Scholar 

  24. Hovy, E. (1993): Automated discourse generation using discourse structure relations. Artificial Intelligence 63:341–385

    Article  Google Scholar 

  25. Hovy, E.; Lin, C.Y. (1997): Automated text summarization in SUMMARIST. MANI97, pp. 18–24

    Google Scholar 

  26. Jacobs, P.S.; Rau, L.F. (1990): SCISOR: Extracting information from online news. Comm. ACM 33:11,88–97

    Article  Google Scholar 

  27. Jacobs, P.S. (1992): TRUMP: a transportable language understanding program. Int. J. Intelligent Systems 7:245–276

    Article  Google Scholar 

  28. Jacobs, P.S.; Rau, L.F. (1993): Innovations in text interpretation. Artificial Intelligence 63:143–191

    Article  Google Scholar 

  29. Sparck Jones, K. (1993): What might be in a summary? Knorz, G.; Krause, J.; Womser-Hacker, C., eds. Information Retrieval ’93: Von der Modellierung zur Anwendung [From modeling to application], pp. 9–26. Konstanz: Universitätsverlag

    Google Scholar 

  30. Johnson, F.C.; Paice, C.D.; Black, W.J.; Neal, A.P. (1993): The application of linguistic processing to automatic abstract generation. J. Document and Text Management 1:3,215.23–9

    Google Scholar 

  31. Justeson, J.S.; Katz, S.M. (1995): Technical terminology: some linguistic properties and an algorithm for identifcation in text. Natural Language Engineering 1:1,9–27

    Article  Google Scholar 

  32. Karernyk, D.; Karlsson, F.; Smart, G. (1991): Knowledge-based indexing of morphosyntactically analysed language. Expert Systems for Information Management 4:1–29

    Google Scholar 

  33. Kintsch, W. (1974): The representation of meaning in memory. Hillsdale, NJ: Erlbaum

    Google Scholar 

  34. Kintsch, W.; Dijk, T.A. van (1978): Toward a model of text comprehension. Psychological Review 85:363–394

    Article  Google Scholar 

  35. Kintsch, W.; Dijk, T.A. van (1983): Strategies of Discourse Comprehension. Orlando, FL: Academic Press

    Google Scholar 

  36. Krupka, G.; Jacobs, P.; Rau, L.(1992): GE NLToolset: Description of the system as used for MUC-4. MUC-4, pp. 177–185

    Google Scholar 

  37. Kuhlen, R.; Hammwoehner, R.; Thiel, U. (1989): TWRM-TOPOGRAPHIC. Informatik Forschung und Entwicklung 4:89–107.

    Google Scholar 

  38. Kupiec, J.; Pedersen, J.; Chen, F. (1995): A trainable document summarizer. SIGI95, pp. 68–73

    Google Scholar 

  39. Lehnert, W.G.; Ringle, M.H. eds. (1982): Strategies for natural languages processing. Hillsdale, NJ: Erlbaum

    Google Scholar 

  40. Lappin, S.; Leass, H. (1994): An algorithm for pronominal anaphora resolution. Computational Linguistics, 20:4,535–561

    Google Scholar 

  41. Luhn, H.P. (1958): The automatic creation of literature abstracts. IBM J. Research and Development 2:2,159–165

    Article  MathSciNet  Google Scholar 

  42. Mani, L; Maybury, M. eds. (1997): Intelligent scalable text summarization. Proc. of a workshop sponsored by the Association for Computational Linguistics. Madrid, July 1997

    Google Scholar 

  43. Mann, W.C.; Thompson, S.A. (1988): Rhetorical Structure Theory: Toward a functional theory of text organization. Text 8:3,243–281

    Article  Google Scholar 

  44. Marcu, D. (1997): The rhetorical parsing of natural language texts. Proc. 35th Annual Meeting of the Association for Computational Linguistics, Madrid, July 1997, pp. 96–103. San Francisco, CA: Morgan Kaufmann

    Google Scholar 

  45. Marcu, D. (1997): From discourse structures to text summaries. MANI97, pp. 82–88

    Google Scholar 

  46. Mathis, B.A. (1972): Techniques for the evaluation and improvement of computer-produced abstracts. Columbus OH: Ohio State Univ. Technical Report OSU-CISRC-TR-72–15

    MATH  Google Scholar 

  47. Maybury, M.T. (1995): Generating summaries from event data. Information Processing and Management 31:5,735–751

    Article  Google Scholar 

  48. McKeown, K.; Robin, J.; Kukich, K. (1995): Generating concise natural language summaries. Information Processing and Management 31:5,703–733

    Article  Google Scholar 

  49. McKeown, K.; Radev, D.R. (1995): Generating summaries of multiple news articles. SIGI95, pp. 74–82

    Google Scholar 

  50. Mitra, M.; Singhal, A.; Buckley, C. (1997): Automatic text summarization by paragraph extraction. MANI97, pp. 39–46

    Google Scholar 

  51. Defense Advanced Research Projects Agency (DARPA): Proc. Third Message Understanding Conference, May 1991. San Mateo, CA: Morgan Kaufmann

    Google Scholar 

  52. Defense Advanced Research Projects Agency (DARPA): Proc. Fourth Message Understanding Conference, June 1992. San Mateo, CA: Morgan Kaufmann

    Google Scholar 

  53. Ono, K.; Sumita, K.; Miike, S. (1994): Abstract generation based on rhetorical structure extraction. COLING 94. Proc. 15th International Conference on Computational Linguistics. Kyoto, August 1994, pp. 344–348

    Google Scholar 

  54. Paice, C.D. (1981): The automatic generation of literature abstracts. Oddy, R.N.; Rijsbergen, C.J.; Williams, P.W. eds.: Information Retrieval Research, pp. 172–191. London: Butterworths

    Google Scholar 

  55. Paice, C.D. (1990): Constructing literature abstracts by computer: Techniques and prospects. Information Processing and Management 26:1,171–186

    Article  Google Scholar 

  56. Rath, G.J.; Resnick, A.; Savage, T.R. (1961): The formation of abstracts by the selection of sentences. Part 1. Sentence selection by men and machines. American Documentation 12:2,139–141

    Article  Google Scholar 

  57. Rau, L.F. (1987): Knowledge organization and access in a conceptual information system. Information Processing and Management 23:4,269–283

    Google Scholar 

  58. Rau, L.F.; Jacobs, P.S.; Zernik, U. (1989): Information extraction and text summarization using linguistic knowledge acquisition. Information Processing and Management 25:4,419–428

    Article  Google Scholar 

  59. Resnick, A. (1961): The formation of abstracts by the selection of sentences. Part 2. The reliability of people in selecting sentences. American Documentation 12:2,141–143

    Article  MathSciNet  Google Scholar 

  60. Rush, J.E.; Salvador, R.; Zamora, A. (1971): Automatic abstracting and indexing. II. Production of indicative abstracts by application of contextual inference and syntactic coherence criteria. J. American Society for Information Science 22:4,260–274

    Article  Google Scholar 

  61. Salton, G., ed. (1971): The SMART Retrieval System. Experiments in Automatic Document Processing. Englewood Cliffs, NJ: Prentice Hall

    Google Scholar 

  62. Salton, G.(1989): Automatic text processing. The transformation, analysis and retrieval of information by computer. Reading, MA: Addison-Wesley

    Google Scholar 

  63. Salton, G.; Singhal, A.; Mitra, M.; Buckley, C. (1997): Automatic Text Structuring and Summarization, Information Processing and Management 33:2,193–208

    Article  Google Scholar 

  64. Fox, E. A.; Ingwersen, P.; Fidel, R. eds. (1995): Proc. 18th ACM-SIGIR Conference on Research and Development in Information Retrieval. Seattle, July 1995

    Google Scholar 

  65. Skorohodko, E.F. (1971): Adaptive method of automatic abstracting and indexing. Proc. IFIP Conference 1971, Lubljana, booklet TA-6, pp. 133–137

    Google Scholar 

  66. Skorohodko, E.F. (1981): Semantische Relationen in der Lexik und in Texten [Semantic relations in the lexicon and in texts]. Bochum: Brockmeyer

    Google Scholar 

  67. Small, S.; Rieger, C. (1982): Parsing and comprehension with word experts. LEHN82, pp. 89–147

    Google Scholar 

  68. Smart, G. (1993): Using language analysis to manage information. Aslib Proc. 45:5,123–129

    Article  Google Scholar 

  69. Teufel, S.; Moens, M. (1997): Sentence extraction as a classification task. MANI97, pp. 58–65

    Google Scholar 

  70. Trabasso T.; Sperry, L. (1985): Causal relatedness and importance of story events. J. Memory and Language 24:595–611

    Article  Google Scholar 

  71. Trabasso, T.; Broek, P. van den (1985): Causal thinking and the representation of narrative events. J. Memory and Language 24:612–630

    Article  Google Scholar 

  72. Wyllys, R.E. (1968): Extracting and abstracting by computer. BORK68, pp. 127–179

    Google Scholar 

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Authors and Affiliations

  1. Fachhochschule Hannover, Information and Communication Department, University of Applied Sciences, Ricklinger Stadtweg 120, D-30459, Hannover, Germany

    Professor Dr. Brigitte Endres-Niggemeyer

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  1. Professor Dr. Brigitte Endres-Niggemeyer
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  2. Kai Haseloh
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Endres-Niggemeyer, B. et al. (1998). Computational Approaches. In: Summarizing Information. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72025-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-72025-3_5

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  • Print ISBN: 978-3-642-72027-7

  • Online ISBN: 978-3-642-72025-3

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