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Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023)
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- Abstract
- With the wide application of keyphrases in many Information Retrieval (IR) and Natural Language Processing (NLP) tasks, automatic keyphrase prediction has been emerging. However, these statistically important phrases are contributing increasingly less to the related tasks because the end-to-end learning mechanism enables models to learn the important semantic information of the text directly. Similarly, keyphrases are of little help for readers to quickly grasp the paper's main idea because the relationship between the keyphrase and the paper is not explicit to readers. Therefore, we propose to generate keyphrases with specific functions for readers to bridge the semantic gap between them and the information producers, and verify the effectiveness of the keyphrase function for assisting users' comprehension with a user experiment. A controllable keyphrase generation framework (the CKPG) that uses the keyphrase function as a control code to generate categorized keyphrases is proposed and implemented based on Transformer, BART, and T5, respectively. For the Computer Science domain, the Macro-avgs of , , and on the Paper with Code dataset are up to 0.680, 0.535, and 0.558, respectively. Our experimental results indicate the effectiveness of the CKPG models.
- Date
- 22. 6.2023 14:55:20
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.7, S.759-774
-
Xiong, S.; Ji, D.: Query-focused multi-document summarization using hypergraph-based ranking (2016)
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- Content
- Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457315001491.
- Source
- Information processing and management. 52(2016) no.4, S.670-681
-
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
-
Craven, T.C.: Presentation of repeated phrases in a computer-assisted abstracting tool kit (2001)
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- Information processing and management. 37(2001) no.2, S.221-230
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Bateman, J.; Teich, E.: Selective information presentation in an integrated publication system : an application of genre-driven text generation (1995)
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- Information processing and management. 31(1995) no.5, S.753-767
-
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
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Pinto, M.: Engineering the production of meta-information : the abstracting concern (2003)
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- Date
- 27.11.2005 18:29:55
- Source
- Journal of information science. 29(2003) no.5, S.405-418
-
Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008)
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- Date
- 29. 7.2008 19:35:12
- Source
- Information processing and management. 44(2008) no.2, S.663-686
-
Kannan, R.; Ghinea, G.; Swaminathan, S.: What do you wish to see? : A summarization system for movies based on user preferences (2015)
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- Date
- 25. 1.2016 18:45:29
- Source
- Information processing and management. 51(2015) no.3, S.286-305
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Johnson, F.C.; Paice, C.D.; Black, W.J.; Neal, A.P.: ¬The application of linguistic processing to automatic abstract generation (1993)
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-
McKeown, K.; Robin, J.; Kukich, K.: Generating concise natural language summaries (1995)
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- Information processing and management. 31(1995) no.5, S.703-733
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Endres-Niggemeyer, B.; Maier, E.; Sigel, A.: How to implement a naturalistic model of abstracting : four core working steps of an expert abstractor (1995)
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- Abstract
- 4 working steps taken from a comprehensive empirical model of expert abstracting are studied in order to prepare an explorative implementation of a simulation model. It aims at explaining the knowledge processing activities during professional summarizing. Following the case-based and holistic strategy of qualitative empirical research, the main features of the simulation system were developed by investigating in detail a small but central test case - 4 working steps where an expert abstractor discovers what the paper is about and drafts the topic sentence of the abstract
- Source
- Information processing and management. 31(1995) no.5, S.631-674
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Kim, H.H.; Kim, Y.H.: Generic speech summarization of transcribed lecture videos : using tags and their semantic relations (2016)
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- Date
- 22. 1.2016 12:29:41
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.366-379
-
Dorr, B.J.; Gaasterland, T.: Exploiting aspectual features and connecting words for summarization-inspired temporal-relation extraction (2007)
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- Abstract
- This paper presents a model that incorporates contemporary theories of tense and aspect and develops a new framework for extracting temporal relations between two sentence-internal events, given their tense, aspect, and a temporal connecting word relating the two events. A linguistic constraint on event combination has been implemented to detect incorrect parser analyses and potentially apply syntactic reanalysis or semantic reinterpretation - in preparation for subsequent processing for multi-document summarization. An important contribution of this work is the extension of two different existing theoretical frameworks - Hornstein's 1990 theory of tense analysis and Allen's 1984 theory on event ordering - and the combination of both into a unified system for representing and constraining combinations of different event types (points, closed intervals, and open-ended intervals). We show that our theoretical results have been verified in a large-scale corpus analysis. The framework is designed to inform a temporally motivated sentence-ordering module in an implemented multi-document summarization system.
- Source
- Information processing and management. 43(2007) no.6, S.1681-1704
-
Brandow, R.; Mitze, K.; Rau, L.F.: Automatic condensation of electronic publications by sentence selection (1995)
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- Information processing and management. 31(1995) no.5, S.675-685
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Sparck Jones, K.; Endres-Niggemeyer, B.: Introduction: automatic summarizing (1995)
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- Information processing and management. 31(1995) no.5, S.625-630
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Automatic summarizing : introduction (1995)
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- Information processing and management. 31(1995) no.5, S.625-630
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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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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
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Sjöbergh, J.: Older versions of the ROUGEeval summarization evaluation system were easier to fool (2007)
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- Source
- Information processing and management. 43(2007) no.6, S.1500-1505
