-
Ward, M.L.: ¬The future of the human indexer (1996)
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- Abstract
- Considers the principles of indexing and the intellectual skills involved in order to determine what automatic indexing systems would be required in order to supplant or complement the human indexer. Good indexing requires: considerable prior knowledge of the literature; judgement as to what to index and what depth to index; reading skills; abstracting skills; and classification skills, Illustrates these features with a detailed description of abstracting and indexing processes involved in generating entries for the mechanical engineering database POWERLINK. Briefly assesses the possibility of replacing human indexers with specialist indexing software, with particular reference to the Object Analyzer from the InTEXT automatic indexing system and using the criteria described for human indexers. At present, it is unlikely that the automatic indexer will replace the human indexer, but when more primary texts are available in electronic form, it may be a useful productivity tool for dealing with large quantities of low grade texts (should they be wanted in the database)
- Date
- 9. 2.1997 18:44:22
-
Spina, D.; Trippas, J.R.; Cavedon, L.; Sanderson, M.: Extracting audio summaries to support effective spoken document search (2017)
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- Abstract
- We address the challenge of extracting query biased audio summaries from podcasts to support users in making relevance decisions in spoken document search via an audio-only communication channel. We performed a crowdsourced experiment that demonstrates that transcripts of spoken documents created using Automated Speech Recognition (ASR), even with significant errors, are effective sources of document summaries or "snippets" for supporting users in making relevance judgments against a query. In particular, the results show that summaries generated from ASR transcripts are comparable, in utility and user-judged preference, to spoken summaries generated from error-free manual transcripts of the same collection. We also observed that content-based audio summaries are at least as preferred as synthesized summaries obtained from manually curated metadata, such as title and description. We describe a methodology for constructing a new test collection, which we have made publicly available.
-
Armstrong, C.J.; Wheatley, A.: Writing abstracts for online databases : results of database producers' guidelines (1998)
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- Date
- 26. 2.1997 11:03:13
-
Lancaster, F.W.: Indexing and abstracting in theory and practice (1991)
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- Date
- 26. 7.2002 11:58:24
-
Koltay, T.: Abstracting: information literacy on a professional level (2009)
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- Date
- 20. 6.2010 14:26:39
-
Endres-Niggemeyer, B.: Summarizing information (1998)
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- Date
- 26. 5.1996 11:11:10
-
Montesi, M.; Mackenzie Owen, J.: Revision of author abstracts : how it is carried out by LISA editors (2007)
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- Source
- Aslib proceedings. 59(2007) no.1, S.26-45
-
Koltay, T.: ¬A hypertext tutorial on abstracting for library science students (1995)
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- Date
- 27. 1.1996 18:22:06
-
Cross, C.; Oppenheim, C.: ¬A genre analysis of scientific abstracts (2006)
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- Date
- 1. 8.2006 12:00:26
-
Palais, E.S.: Abstracting for reference librarians (1988)
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- Source
- Reference librarian. 1988, no.22, S.297-308
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Hartley, J.; Sydes, M.: Which layout do you prefer? : an analysis of readers' preferences for different typographic layouts of structured abstracts (1996)
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- Source
- Journal of information science. 22(1996) no.1, S.27-37
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Wan, X.; Yang, J.; Xiao, J.: Incorporating cross-document relationships between sentences for single document summarizations (2006)
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- Source
- Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
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Hartley, J.; Sydes, M.; Blurton, A.: Obtaining information accurately and quickly : are structured abstracts more efficient? (1996)
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- Source
- Journal of information science. 22(1996) no.5, S.349-356
