Search (177 results, page 1 of 9)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.20 
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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. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.13 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.10 
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    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  4. Mustafa El Hadi, W.: Evaluating human language technology : general applications to information access and management (2002) 0.04 
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    Source
    Knowledge organization. 29(2002) nos.3/4, S.124-134
  5. Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing for a text mining environment : An NP recognition model for knowledge visualization and information retrieval (2002) 0.03 
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    Abstract
    Sidhom and Hassoun discuss the crucial role of NLP tools in Knowledge Extraction and Management as well as in the design of Information Retrieval Systems. The authors focus more specifically an the morpho-syntactic issues by describing their morpho-syntactic analysis platform, which has been implemented to cover the automatic indexing and information retrieval topics. To this end they implemented the Cascaded "Augmented Transition Network (ATN)". They used this formalism in order to analyse French text descriptions of Multimedia documents. An implementation of an ATN parsing automaton is briefly described. The Platform in its logical operation is considered as an investigative tool towards the knowledge organization (based an an NP recognition model) and management of multiform e-documents (text, multimedia, audio, image) using their text descriptions.
    Source
    Knowledge organization. 29(2002) nos.3/4, S.171-180
  6. Clark, M.; Kim, Y.; Kruschwitz, U.; Song, D.; Albakour, D.; Dignum, S.; Beresi, U.C.; Fasli, M.; Roeck, A De: Automatically structuring domain knowledge from text : an overview of current research (2012) 0.02 
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    Date
    29. 1.2016 18:29:51
    Source
    Information processing and management. 48(2012) no.3, S.552-568
  7. Bernth, A.; McCord, M.; Warburton, K.: Terminology extraction for global content management (2003) 0.02 
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  8. Kettunen, K.: Reductive and generative approaches to management of morphological variation of keywords in monolingual information retrieval : an overview (2009) 0.02 
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    Abstract
    Purpose - The purpose of this article is to discuss advantages and disadvantages of various means to manage morphological variation of keywords in monolingual information retrieval. Design/methodology/approach - The authors present a compilation of query results from 11 mostly European languages and a new general classification of the language dependent techniques for management of morphological variation. Variants of the different techniques are compared in some detail in terms of retrieval effectiveness and other criteria. The paper consists mainly of an overview of different management methods for keyword variation in information retrieval. Typical IR retrieval results of 11 languages and a new classification for keyword management methods are also presented. Findings - The main results of the paper are an overall comparison of reductive and generative keyword management methods in terms of retrieval effectiveness and other broader criteria. Originality/value - The paper is of value to anyone who wants to get an overall picture of keyword management techniques used in IR.
  9. Deventer, J.P. van; Kruger, C.J.; Johnson, R.D.: Delineating knowledge management through lexical analysis : a retrospective (2015) 0.02 
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    Abstract
    Purpose Academic authors tend to define terms that meet their own needs. Knowledge Management (KM) is a term that comes to mind and is examined in this study. Lexicographical research identified KM terms used by authors from 1996 to 2006 in academic outlets to define KM. Data were collected based on strict criteria which included that definitions should be unique instances. From 2006 onwards, these authors could not identify new unique instances of definitions with repetitive usage of such definition instances. Analysis revealed that KM is directly defined by People (Person and Organisation), Processes (Codify, Share, Leverage, and Process) and Contextualised Content (Information). The paper aims to discuss these issues. Design/methodology/approach The aim of this paper is to add to the body of knowledge in the KM discipline and supply KM practitioners and scholars with insight into what is commonly regarded to be KM so as to reignite the debate on what one could consider as KM. The lexicon used by KM scholars was evaluated though the application of lexicographical research methods as extended though Knowledge Discovery and Text Analysis methods. Findings By simplifying term relationships through the application of lexicographical research methods, as extended though Knowledge Discovery and Text Analysis methods, it was found that KM is directly defined by People (Person and Organisation), Processes (Codify, Share, Leverage, Process) and Contextualised Content (Information). One would therefore be able to indicate that KM, from an academic point of view, refers to people processing contextualised content.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.2, S.203-229
  10. Sheridan, P.; Smeaton, A.F.: ¬The application of morpho-syntactic language processing to effective phrase matching (1992) 0.02 
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    Source
    Information processing and management. 28(1992) no.3, S.349-369
  11. Salton, G.; Buckley, C.; Smith, M.: On the application of syntactic methodologies in automatic text analysis (1990) 0.02 
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    Source
    Information processing and management. 26(1990) no.1, S.73-92
  12. Haas, S.W.: ¬A feasibility study of the case hierarchy model for the construction and porting of natural language interfaces (1990) 0.02 
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    Source
    Information processing and management. 26(1990), S.615-628
  13. Atlam, E.S.: Similarity measurement using term negative weight and its application to word similarity (2000) 0.02 
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    Source
    Information processing and management. 36(2000) no.5, S.717-736
  14. Perez-Carballo, J.; Strzalkowski, T.: Natural language information retrieval : progress report (2000) 0.02 
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    Information processing and management. 36(2000) no.1, S.155-205
  15. Li, W.; Wong, K.-F.; Yuan, C.: Toward automatic Chinese temporal information extraction (2001) 0.02 
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    Abstract
    Over the past few years, temporal information processing and temporal database management have increasingly become hot topics. Nevertheless, only a few researchers have investigated these areas in the Chinese language. This lays down the objective of our research: to exploit Chinese language processing techniques for temporal information extraction and concept reasoning. In this article, we first study the mechanism for expressing time in Chinese. On the basis of the study, we then design a general frame structure for maintaining the extracted temporal concepts and propose a system for extracting time-dependent information from Hong Kong financial news. In the system, temporal knowledge is represented by different types of temporal concepts (TTC) and different temporal relations, including absolute and relative relations, which are used to correlate between action times and reference times. In analyzing a sentence, the algorithm first determines the situation related to the verb. This in turn will identify the type of temporal concept associated with the verb. After that, the relevant temporal information is extracted and the temporal relations are derived. These relations link relevant concept frames together in chronological order, which in turn provide the knowledge to fulfill users' queries, e.g., for question-answering (i.e., Q&A) applications
    Date
    29. 9.2001 14:02:50
  16. Owei, V.; Higa, K.: ¬A paradigm for natural language explanation of database queries : a semantic data model approach (1994) 0.01 
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    Abstract
    An interface that provides the user with automatic feedback in the form of an explanation of how the database management system interprets user specified queries. Proposes an approach that exploits the rich semantics of graphical semantic data models to construct a restricted natural language explanation of database queries that are specified in a very high level declarative form. These interpretations of the specified query represent the system's 'understanding' of the query, and are returned to the user for validation
    Source
    Journal of database management. 5(1994) no.1, S.18-30
  17. Melby, A.: Some notes on 'The proper place of men and machines in language translation' (1997) 0.01 
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    Date
    31. 7.1996 9:22:19
    Source
    Machine translation. 12(1997) nos.1/2, S.29-34
  18. ¬The language engineering directory (1993) 0.01 
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    Abstract
    This is a reference guide to language technology organizations and products around the world. Areas covered in the directory include: Artificial intelligence, Document storage and retrieval, Electronic dictionaries (mono- and multilingual), Expert language systems, Multilingual word processors, Natural language database interfaces, Term databanks, Terminology management, Text content analysis, Thesauri
  19. Pereira, C.N.; Grosz, B.J.: Natural language processing (1994) 0.01 
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    Footnote
    Rez. in: Information processing and management 32(1996) no.1, S.122-123 (P.B. Heidorn)
  20. Doszkocs, T.E.; Zamora, A.: Dictionary services and spelling aids for Web searching (2004) 0.01 
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    Date
    14. 8.2004 17:22:56
    Source
    Online. 28(2004) no.3, S.22-29

Authors

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