-
Hafter, R.: ¬The performance of card catalogs : a review of research (1979)
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- Date
- 3.10.2000 20:48:22
- Source
- Library research. 1(1979), S.199-222
-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Abstract
- This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation. Two task challenges- summary and question answering- prompt ChatGPT to produce original content (98-99%) from a single text entry and sequential questions initially posed by Turing in 1950. We score the original and generated content against the OpenAI GPT-2 Output Detector from 2019, and establish multiple cases where the generated content proves original and undetectable (98%). The question of a machine fooling a human judge recedes in this work relative to the question of "how would one prove it?" The original contribution of the work presents a metric and simple grammatical set for understanding the writing mechanics of chatbots in evaluating their readability and statistical clarity, engagement, delivery, overall quality, and plagiarism risks. While Turing's original prose scores at least 14% below the machine-generated output, whether an algorithm displays hints of Turing's true initial thoughts (the "Lovelace 2.0" test) remains unanswerable.
- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Lynch, C.A.; Preston, C.M.: Describing and classifying networked information resources (1992)
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- Source
- Electronic networking: research, applications, and policy. 2(1992) no.1, S.10-22
-
Morris, S.A.: Mapping research specialties (2008)
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- Date
- 13. 7.2008 9:30:22
-
Trauth, E.M.: Qualitative research in IS : issues and trends (2001)
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- Date
- 25. 3.2003 15:35:22
-
Sillince, J.A.A.: Intelligent argumentation systems : requirements, models, research agenda, and applications (1997)
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- Source
- Encyclopedia of library and information science. Vol.59, [=Suppl.22]
-
Elliott, P.: Reporting LIS research : a review article (1990)
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- Abstract
- Discusses the problem of library and information science research publishing and reviews the monographs, abstracting services and periodicals that disseminate information about research.
- Source
- Librarianship. 22(1990), no.4, S.257-264
-
Scientific discovery (1997)
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- Date
- 6. 3.1997 16:22:15
- Footnote
- A special issue devoted to recent research on computer systems that can doscover scientific laws or concepts
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
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- Date
- 25. 8.2005 17:42:22
- Source
- Library and information research news. 24(2000) no.77, S.30-34
-
Forsman, R.B.: Managing the electronic resources transforming research libraries : challenges in the dynamic digital environment (1998)
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- Source
- Advances in librarianship. 22(1998), S.1-20
-
Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000)
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- Source
- Library and information science research. 22(2000) no.4, S.371-382
-
Coates, E.J.: CRG proposals for a new general classification (1969)
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- Pages
- S.19-22
- Series
- Library Association Research Publications; no.1
- Source
- Classification and information control. Papers representing the work of the Classification Research Group during 1960-1968
-
Cleverdon, C.W.: ASLIB Cranfield Research Project : Report on the first stage of an investigation into the comparative efficiency of indexing systems (1960)
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- Footnote
- Rez. in: College and research libraries 22(1961) no.3, S.228 (G. Jahoda)
-
Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005)
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- Date
- 20. 1.2007 17:02:22
- Footnote
- Einleitung zu einem Themenheft "Bibliometrics Research"
-
Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998)
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- Abstract
- Derives a 'literature variable exponential growth model' from Price's literature growth model. The research shows that the new model is more convincing than the former ones. Gives detailed calculation procedure, examples, parameter values and mean square errors
- Date
- 22. 5.1999 19:22:35
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
- Source
- Information Research. 6(2001), no.2
-
Xiong, C.: Knowledge based text representations for information retrieval (2016)
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- Abstract
- The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.
- Content
- Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
-
Building information infrastructure : issues in the development of the National Research and Education Network (1992)
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- Date
- 1. 3.2008 12:42:22
-
Davis, C.: Some experiences of an Internet researcher (1996)
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- Abstract
- Reports work as an independent Internet researcher in the field of library research in the USA
- Source
- Audiovisual librarian. 22(1996) no.2, A.112-113
