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  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.07
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    Abstract
    Document representations for text classification are typically based on the classical Bag-Of-Words paradigm. This approach comes with deficiencies that motivate the integration of features on a higher semantic level than single words. In this paper we propose an enhancement of the classical document representation through concepts extracted from background knowledge. Boosting is used for actual classification. Experimental evaluations on two well known text corpora support our approach through consistent improvement of the results.
    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
    Type
    a
  2. Melby, A.: Some notes on 'The proper place of men and machines in language translation' (1997) 0.04
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    Date
    31. 7.1996 9:22:19
    Footnote
    Contribution to a special issue devoted to the theme of new tools for human translators
    Source
    Machine translation. 12(1997) nos.1/2, S.29-34
    Type
    a
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04
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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
    Type
    a
  4. Doszkocs, T.E.; Zamora, A.: Dictionary services and spelling aids for Web searching (2004) 0.03
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    Abstract
    The Specialized Information Services Division (SIS) of the National Library of Medicine (NLM) provides Web access to more than a dozen scientific databases on toxicology and the environment on TOXNET . Search queries on TOXNET often include misspelled or variant English words, medical and scientific jargon and chemical names. Following the example of search engines like Google and ClinicalTrials.gov, we set out to develop a spelling "suggestion" system for increased recall and precision in TOXNET searching. This paper describes development of dictionary technology that can be used in a variety of applications such as orthographic verification, writing aid, natural language processing, and information storage and retrieval. The design of the technology allows building complex applications using the components developed in the earlier phases of the work in a modular fashion without extensive rewriting of computer code. Since many of the potential applications envisioned for this work have on-line or web-based interfaces, the dictionaries and other computer components must have fast response, and must be adaptable to open-ended database vocabularies, including chemical nomenclature. The dictionary vocabulary for this work was derived from SIS and other databases and specialized resources, such as NLM's Unified Medical Language Systems (UMLS) . The resulting technology, A-Z Dictionary (AZdict), has three major constituents: 1) the vocabulary list, 2) the word attributes that define part of speech and morphological relationships between words in the list, and 3) a set of programs that implements the retrieval of words and their attributes, and determines similarity between words (ChemSpell). These three components can be used in various applications such as spelling verification, spelling aid, part-of-speech tagging, paraphrasing, and many other natural language processing functions.
    Date
    14. 8.2004 17:22:56
    Source
    Online. 28(2004) no.3, S.22-29
    Type
    a
  5. Kuhlen, R.: Morphologische Relationen durch Reduktionsalgorithmen (1974) 0.03
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    Date
    29. 1.2011 14:56:29
    Type
    a
  6. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.03
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    Date
    8.10.2000 11:52:22
    Source
    Library science with a slant to documentation. 28(1991) no.4, S.125-130
    Type
    a
  7. Wettler, M.; Rapp, R.; Ferber, R.: Freie Assoziationen und Kontiguitäten von Wörtern in Texten (1993) 0.03
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    Date
    4.11.1998 14:30:29
    Type
    a
  8. Warner, A.J.: Natural language processing (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
    Type
    a
  9. Barthel, J.; Ciesielski, R.: Regeln zu ChatGPT an Unis oft unklar : KI in der Bildung (2023) 0.03
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    Date
    29. 3.2023 13:23:26
    29. 3.2023 13:29:19
    Type
    a
  10. Hahn, U.; Reimer, U.: Informationslinguistische Konzepte der Volltextverarbeitung in TOPIC (1983) 0.02
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    Source
    Deutscher Dokumentartag 1982, Lübeck-Travemünde, 29.-30.9.1982: Fachinformation im Zeitalter der Informationsindustrie. Bearb.: H. Strohl-Goebel
    Type
    a
  11. Proszeky, G.: Language technology tools in the translator's practice (1999) 0.02
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    Date
    30. 3.2002 18:29:40
    Type
    a
  12. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.02
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
    Type
    a
  13. Somers, H.: Example-based machine translation : Review article (1999) 0.02
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    Date
    31. 7.1996 9:22:19
    Type
    a
  14. New tools for human translators (1997) 0.02
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    Abstract
    A special issue devoted to the theme of new tools for human tranlators
    Date
    31. 7.1996 9:22:19
  15. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.02
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    Date
    28. 2.1999 10:48:22
    Type
    a
  16. ¬Der Student aus dem Computer (2023) 0.02
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    Date
    27. 1.2023 16:22:55
    Type
    a
  17. Mustafa El Hadi, W.: Evaluating human language technology : general applications to information access and management (2002) 0.02
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    Footnote
    Guest editorial to a special issue of Knowledge Organization on "Evaluation of HLT"
    Source
    Knowledge organization. 29(2002) nos.3/4, S.124-134
    Type
    a
  18. Czejdo. B.D.; Tucci, R.P.: ¬A dataflow graphical language for database applications (1994) 0.02
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    Abstract
    Discusses a graphical language for information retrieval and processing. A lot of recent activity has occured in the area of improving access to database systems. However, current results are restricted to simple interfacing of database systems. Proposes a graphical language for specifying complex applications
    Date
    20.10.2000 13:29:46
    Type
    a
  19. Zue, V.: Dein Computer spricht mir dir (1999) 0.02
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    Date
    31.12.1996 19:29:41
    Type
    a
  20. Müller, P.: Text-Automat mit Tücken (2023) 0.02
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    Source
    Pirmasenser Zeitung. Nr. 29 vom 03.02.2023, S.2
    Type
    a

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