-
Vanderwende, L.; Suzuki, H.; Brockett, J.M.; Nenkova, A.: Beyond SumBasic : task-focused summarization with sentence simplification and lexical expansion (2007)
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- Abstract
- In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific information request, or topic, stated by the user. The system we have designed to accomplish this task comprises four main components: a generic extractive summarization system, a topic-focusing component, sentence simplification, and lexical expansion of topic words. This paper details each of these components, together with experiments designed to quantify their individual contributions. We include an analysis of our results on two large datasets commonly used to evaluate task-focused summarization, the DUC2005 and DUC2006 datasets, using automatic metrics. Additionally, we include an analysis of our results on the DUC2006 task according to human evaluation metrics. In the human evaluation of system summaries compared to human summaries, i.e., the Pyramid method, our system ranked first out of 22 systems in terms of overall mean Pyramid score; and in the human evaluation of summary responsiveness to the topic, our system ranked third out of 35 systems.
- Source
- Information processing and management. 43(2007) no.6, S.1606-1618
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Wu, Y.-f.B.; Li, Q.; Bot, R.S.; Chen, X.: Finding nuggets in documents : a machine learning approach (2006)
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- Date
- 22. 7.2006 17:25:48
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.6, S.740-752
-
Mani, T.: Automatic summarization (2001)
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- Footnote
- Rez. in: JASIST 53(2002) no.5, S.410-411 (S.J. Lincicium)
- Pages
- 285 S
-
Craven, T.C.: Presentation of repeated phrases in a computer-assisted abstracting tool kit (2001)
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- Source
- Information processing and management. 37(2001) no.2, S.221-230
-
Endres-Niggemeyer, B.: SimSum : an empirically founded simulation of summarizing (2000)
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- Information processing and management. 36(2000) no.4, S.659-682
-
Pinto, M.: Engineering the production of meta-information : the abstracting concern (2003)
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- Source
- Journal of information science. 29(2003) no.5, S.405-418
-
Yusuff, A.: Automatisches Indexing and Abstracting : Grundlagen und Beispiele (2002)
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- Pages
- 53 S
-
Ye, S.; Chua, T.-S.; Kan, M.-Y.; Qiu, L.: Document concept lattice for text understanding and summarization (2007)
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- Abstract
- We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that can be preserved after summarization. Here, a concept refers to an abstract or concrete entity or its action often expressed by diverse terms in text. Summary generation can thus be considered as an optimization problem of selecting a set of sentences with minimal answer loss. In this paper, we propose a document concept lattice that indexes the hierarchy of local topics tied to a set of frequent concepts and the corresponding sentences containing these topics. The local topics will specify the promising sub-spaces related to the selected concepts and sentences. Based on this lattice, the summary is an optimized selection of a set of distinct and salient local topics that lead to maximal coverage of concepts with the given number of sentences. Our summarizer based on the concept lattice has demonstrated competitive performance in Document Understanding Conference 2005 and 2006 evaluations as well as follow-on tests.
- Source
- Information processing and management. 43(2007) no.6, S.1643-1662
-
Harabagiu, S.; Hickl, A.; Lacatusu, F.: Satisfying information needs with multi-document summaries (2007)
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- Source
- Information processing and management. 43(2007) no.6, S.1619-1642
-
Liang, S.-F.; Devlin, S.; Tait, J.: Investigating sentence weighting components for automatic summarisation (2007)
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- Information processing and management. 43(2007) no.1, S.146-153
-
Moens, M.F.: Automatic indexing and abstracting of document texts (2000)
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- Pages
- 400 S
-
Hahn, U.: ¬Die Verdichtung textuellen Wissens zu Information : vom Wandel methodischer Paradigmen beim automatischen Abstracting (2004)
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- Pages
- S.51-68
-
Lee, J.-H.; Park, S.; Ahn, C.-M.; Kim, D.: Automatic generic document summarization based on non-negative matrix factorization (2009)
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- Information processing and management. 45(2009) no.1, S.20-34
-
Haag, M.: Automatic text summarization : Evaluation des Copernic Summarizer und mögliche Einsatzfelder in der Fachinformation der DaimlerCrysler AG (2002)
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- Footnote
- Diplomarbeit an der HBI Stuttgart. - Vgl. auch: nfd 53(2002) H.4, S.243-244
- Pages
- 211 S
-
Lam, W.; Chan, K.; Radev, D.; Saggion, H.; Teufel, S.: Context-based generic cross-lingual retrieval of documents and automated summaries (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.2, S.129-139
-
Chen, H.-H.; Kuo, J.-J.; Huang, S.-J.; Lin, C.-J.; Wung, H.-C.: ¬A summarization system for Chinese news from multiple sources (2003)
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- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1224-1236
-
Deutsche Patentdatenbank mit maschinellen Abstract-Übersetzungen (2005)
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- Password. 2005, H.2, S.32
-
Over, P.; Dang, H.; Harman, D.: DUC in context (2007)
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- Information processing and management. 43(2007) no.6, S.1506-1520
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Sjöbergh, J.: Older versions of the ROUGEeval summarization evaluation system were easier to fool (2007)
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- Information processing and management. 43(2007) no.6, S.1500-1505
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Jones, S.; Paynter, G.W.: Automatic extractionof document keyphrases for use in digital libraries : evaluations and applications (2002)
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- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.8, S.653-677
