Search (70 results, page 1 of 4)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10
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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
  2. Semantik und künstliche Intelligenz : Beiträge zur automatischen Sprachbearbeitung II (1977) 0.07
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  3. Minsky, M.L.: Materie, Geist, Modell (1977) 0.06
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    Source
    Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hsrg. u. eingeleitet von P. Eisenberg
  4. Schank, R.C.: Computer, elementare Aktionen und linguistische Theorien (1977) 0.06
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    Source
    Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hrsg. und eingeleitet von P. Eisenberg
  5. Winograd, T.: ¬Ein prozedurales Modell des Sprachverstehens (1977) 0.06
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    Source
    Semantik und künstliche Intelligenz: Beiträge zur automatischen Sprachbearbeitung II. Hrsg. u. eingeleitet von P. Eisenberg
  6. Godby, C.J.; Reighart, R.R.: ¬The WordSmith Toolkit (2001) 0.05
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    Footnote
    Teil eines Themenheftes: OCLC and the Internet: An Historical Overview of Research Activities, 1990-1999 - Part II
  7. Normore, L.F.: Using Visualization to Understand Phrase Structure (2001) 0.05
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    Footnote
    Teil eines Themenheftes: OCLC and the Internet: An Historical Overview of Research Activities, 1990-1999 - Part II
  8. Godby, C.J.; Reighart, R.R.: ¬The WordSmith Indexing System (2001) 0.05
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    Footnote
    Teil eines Themenheftes: OCLC and the Internet: An Historical Overview of Research Activities, 1990-1999 - Part II
  9. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  10. Bubenhofer, N.: Einführung in die Korpuslinguistik : Praktische Grundlagen und Werkzeuge (2006) 0.03
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    Abstract
    Seit über zwei Jahren ist die Einführung in die Korpuslinguistik online! Und sie wird rege benutzt, so z.B. in Veranstaltungen an den Universitäten Heidelberg (Ekkehard Felder), Jena (Peter Gallmann), Zürich (Christa Dürscheid), Kiel (Ulrike Mosel), Leipzig (Uwe Quasthoff), am Institut für Computerlinguistik in Zürich (Simon Clematide); die Website von COSMAS II des IDS, das Korpus Südtirol, die LinseLinks, der Gateway to Corpus Linguistics und die Wikipedia verweisen darauf.
  11. Bredack, J.: Automatische Extraktion fachterminologischer Mehrwortbegriffe : ein Verfahrensvergleich (2016) 0.03
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    Content
    Schriftliche Hausarbeit (Masterarbeit) zur Erlangung des Grades eines Master of Arts An der Universität Trier Fachbereich II Studiengang Computerlinguistik.
    Imprint
    Trier : Universität / Fachbereich II
  12. Toutanova, K.; Klein, D.; Manning, C.D.; Singer, Y.: Feature-rich Part-of-Speech Tagging with a cyclic dependency network (2003) 0.03
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    Abstract
    We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on multiple consecutive words, (iii) effective use of priors in conditional loglinear models, and (iv) fine-grained modeling of unknown word features. Using these ideas together, the resulting tagger gives a 97.24%accuracy on the Penn TreebankWSJ, an error reduction of 4.4% on the best previous single automatically learned tagging result.
  13. Toutanova, K.; Manning, C.D.: Enriching the knowledge sources used in a maximum entropy Part-of-Speech Tagger (2000) 0.03
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    Abstract
    This paper presents results for a maximumentropy-based part of speech tagger, which achieves superior performance principally by enriching the information sources used for tagging. In particular, we get improved results by incorporating these features: (i) more extensive treatment of capitalization for unknown words; (ii) features for the disambiguation of the tense forms of verbs; (iii) features for disambiguating particles from prepositions and adverbs. The best resulting accuracy for the tagger on the Penn Treebank is 96.86% overall, and 86.91% on previously unseen words.
  14. 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
  15. Hahn, U.: Informationslinguistik : II: Einführung in das linguistische Information Retrieval (1985) 0.02
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    Abstract
    (1) "Informationslinguistik I: Einfuehrung in das linguistische Information Retrieval" (2) "Informationslinguistik II: linguistische und statistische Verfahren im experimentellen Information Retrieval" (3) "Intelligente Informationssysteme: Verfahren der Kuenstlichen Intelligenz im experimentellen Information Retrieval" Kursabschnitt zu natuerlichsprachlichen Systemen (4) Spezialkurse zum automatischen Uebersetzen, Indexing und Retrieval, Abstracting usf. dienen zur Vertiefung informationslinguistischer Spezialthemen Die Kurse (1) und (3) gehoeren zu dem Pool der Pflichtveranstaltungen aller Studenten des Diplom-Studiengangs Informationswissenschaft, waehrend (2) und (4) lediglich zu den Wahlpflichtveranstaltungen zaehlen, die aber obligatorisch fuer die Studenten des Diplomstudiengangs sind, die ihren Schwerpunkt (z.B. in Form der Diplomarbeit) im Bereich Informationslinguistik suchen - fuer alle anderen Studenten zaehlen diese Kurse zum Zusatz angebot an Lehrveranstaltungen.
    Das vorliegende Skript entspricht dem Inhalt des Kurses "Informationslinguistik II" im SS 1983 bzw. SS 1984. Es ist im Juli 1983 inhaltlich abgeschlossen und im Januar 1985 lediglich redaktionell ueberarbeitet worden. Die Erstellung des Skripts entspricht einem dezidierten Auftrag des Projekts "Informationsvermittlung", der die Entwicklung geeigneter Lehrmaterialien zum informationswissenschaftlichen Aufbaustudium vorsah. Aufgrund des engen Projektzeitrahmens (1982-84) kann das Skript nicht in dem Masse voll ausgereift und ausformuliert sein, wie es gaengigen Standards entspraeche. Im Unterschied zum Skript "Informationslinguistik I" (HAHN 1985) laesst das vorliegende Skript wahlweise eine eher methoden- oder mehr systembezogene Darstellung informationslinguistischer Konzepte des experimentellen Information Retrieval zu (beides zusammen schliesst der enge Zeitrahmen eines Sommersemesters ausl). Die Entscheidung darueber sollte wenn moeglich in Abhaengigkeit zur personellen Zusammensetzung des Kurses getroffen werden, wobei - sofern die bislang genachten Erfahrungen verallgemeinerbar sind - sich bei einem nicht ausschliesslich an einer informationslinguistischen Spezialisierung interessierten und damit heterogenen Publikum die mehr systembezogene Praesentation als fuer das Verstaendnis informationslinguistischer Fragestellungen und entsprechender Verfahrensloesungen guenstiger gezeigt hat. Innerhalb dieser Nuancierung besitzt aber auch dieses Skript schon eine akzeptable inhaltliche Stabilitaet. Nichtsdestotrotz sollte gerade die Veroeffentlichung des Skripts als Anregung dienen, kritische Kommentare, Anmerkungen und Ergaenzungen zu diesem curricularen Entwurf herauszufordern, um damit die weitere disziplinaere Klaerung der Informationslinguistik zu foerdern.
  16. Nait-Baha, L.; Jackiewicz, A.; Djioua, B.; Laublet, P.: Query reformulation for information retrieval on the Web using the point of view methodology : preliminary results (2001) 0.02
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    Abstract
    The work we are presenting is devoted to the information collected on the WWW. By the term collected we mean the whole process of retrieving, extracting and presenting results to the user. This research is part of the RAP (Research, Analyze, Propose) project in which we propose to combine two methods: (i) query reformulation using linguistic markers according to a given point of view; and (ii) text semantic analysis by means of contextual exploration results (Descles, 1991). The general project architecture describing the interactions between the users, the RAP system and the WWW search engines is presented in Nait-Baha et al. (1998). We will focus this paper on showing how we use linguistic markers to reformulate the queries according to a given point of view
  17. 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
  18. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.02
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    Date
    8.10.2000 11:52:22
  19. Somers, H.: Example-based machine translation : Review article (1999) 0.02
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  20. New tools for human translators (1997) 0.02
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Languages

  • e 46
  • d 25
  • m 1
  • More… Less…

Types

  • a 51
  • m 9
  • el 7
  • s 4
  • x 3
  • p 2
  • d 1
  • More… Less…