Number of found records: 40
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CRAVEN, Timothy C. |
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Presentation of repeated phrases in a computer-assisted abstracting tool kit. |
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Information Processing and Management, 2001, vol.37, n.2, pp.221-230. |
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On line (11/05/2005) |
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Compact graphic display of phrases from the original text is among abstracting assistance features being prototyped in the TEXNET text network management system. Compaction is achieved by embedding subphrases and by enabling the user to select rapidly word by word. Phrases displayed would not necessarily be those selected for automatic indexing. (AU) |
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automatic abstracting; TEXNET; text compaction; automatic indexing |
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ENDRES-NIGGEMEYER, Brigitte |
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SimSum: an empirically founded simulation of summarizing |
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Information Processing and Management, 2000, vol. 36,n.4, pp.659-682 |
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On line (11/05/2005) |
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SimSum (Simulation of Summarizing) simulates 20 real-world working steps of expert summarizers. It presents an empirically founded cognitive model of summarizing and demonstrates that human summarization strategies can be simulated. The cognitive model operationalizes the discourse processing model developed by Kintsch and van Dijk (1983). Knowledge engineering followed the KADS approach, empirical modeling used methods of grounded theory development. The observed strategies of expert summarizers have given rise to cooperating object-oriented agents communicating through dedicated blackboards. Each agent is implemented as a CLOS object with an assigned actor at the multimedia user interface. The interface is realized with Macromedia Director. Communication between CLOS and Macromedia Director is mediated by Apple Events. According to first evaluation results in an educational environment, SimSum transmits summarization know-how effectively. It is, however, not designed as a tutorial system and serves active and curious users best. We are starting its expansion to summarizing in the WWW. (AU) |
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Automatic text analysis; Automatic abstracting; Models; Cognitive aspects ; SimSum. (LISA) |
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LIN, Chin-Yew; HOVY, Eduard |
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The potential and limitations of automatic sentence extraction for summarization. |
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. In RADEV, Dragomir; TEUFEL, Simone, (Eds) HLT-NAACL 2003 Workshop: Text Summarization (DUC03), Edmonton, Alberta, Canada, May 31 - June 1 2003. Association for Computational Linguistics. |
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In this paper we present an empirical study of the potential and limitation of sentence extraction in text summarization. Our results show that the single document generic summarization task as defined in DUC 2001 needs to be carefully refocused as reflected in the low inter-human agreement at 100-word 1 (0.40 score) and high upper bound at full text 2 (0.88) summaries. For 100-word summaries, the performance upper bound, 0.65, achieved oracle extracts3. Such oracle extracts show the promise of sentence extraction algorithms; however, we first need to raise inter-human agreement to be able to achieve this performance level. We show that compression is a promising direction and that the compression ratio of summaries affects average human and system performance. (AU) |
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text summarization; DUC; extracting; |
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BISKUP, Joachim; EMBLEY, David W. |
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Extracting information from heterogeneous information sources using ontologically specified target views. |
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Information Systems, 2003, n.28, pp.169-212 |
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On line (11/05/2005) |
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Being deluged by exploding volumes of structured and unstructured data contained in databases, data warehouses, and the global Internet, people have an increasing need for critical information that is expertly extracted and integrated in personalized views. Allowing for the collective efforts of many data and knowledge workers, we offer in this paper a framework for addressing the issues involved. In our proposed framework we assume that a target view is specified ontologically and independently of any of the sources, and we model both the target and all the sources in the same modeling language. Then, for a given target and source we generate a target-to-source mapping, that has the necessary properties to enable us to load target facts from source facts. The mapping generator raises specific issues for a user's consideration, but is endowed with defaults to allow it to run to completion with or without user input. The framework is based on a formal foundation, and we are able to prove that when a source has a valid interpretation, the generated mapping produces a valid interpretation for the part of the target loaded from the source. (AU) |
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extracting; database; mapping |
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