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  1. ¬The semantics of relationships : an interdisciplinary perspective (2002) 0.02
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    Content
    Enthält die Beiträge: Pt.1: Types of relationships: CRUDE, D.A.: Hyponymy and its varieties; FELLBAUM, C.: On the semantics of troponymy; PRIBBENOW, S.: Meronymic relationships: from classical mereology to complex part-whole relations; KHOO, C. u.a.: The many facets of cause-effect relation - Pt.2: Relationships in knowledge representation and reasoning: GREEN, R.: Internally-structured conceptual models in cognitive semantics; HOVY, E.: Comparing sets of semantic relations in ontologies; GUARINO, N., C. WELTY: Identity and subsumption; JOUIS; C.: Logic of relationships - Pt.3: Applications of relationships: EVENS, M.: Thesaural relations in information retrieval; KHOO, C., S.H. MYAENG: Identifying semantic relations in text for information retrieval and information extraction; McCRAY, A.T., O. BODENREICHER: A conceptual framework for the biiomedical domain; HETZLER, B.: Visual analysis and exploration of relationships
    Editor
    Green, R., C.A. Bean u. S.H. Myaeng
  2. Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014) 0.02
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Godby, J.: WordSmith research project bridges gap between tokens and indexes (1998) 0.02
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    Source
    OCLC newsletter. 1998, no.234, Jul/Aug, S.22-24
  4. Malo, P.; Sinha, A.; Korhonen, P.; Wallenius, J.; Takala, P.: Good debt or bad debt : detecting semantic orientations in economic texts (2014) 0.02
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    Abstract
    The use of robo-readers to analyze news texts is an emerging technology trend in computational finance. Recent research has developed sophisticated financial polarity lexicons for investigating how financial sentiments relate to future company performance. However, based on experience from fields that commonly analyze sentiment, it is well known that the overall semantic orientation of a sentence may differ from that of individual words. This article investigates how semantic orientations can be better detected in financial and economic news by accommodating the overall phrase-structure information and domain-specific use of language. Our three main contributions are the following: (a) a human-annotated finance phrase bank that can be used for training and evaluating alternative models; (b) a technique to enhance financial lexicons with attributes that help to identify expected direction of events that affect sentiment; and (c) a linearized phrase-structure model for detecting contextual semantic orientations in economic texts. The relevance of the newly added lexicon features and the benefit of using the proposed learning algorithm are demonstrated in a comparative study against general sentiment models as well as the popular word frequency models used in recent financial studies. The proposed framework is parsimonious and avoids the explosion in feature space caused by the use of conventional n-gram features.
  5. Reyes Ayala, B.; Knudson, R.; Chen, J.; Cao, G.; Wang, X.: Metadata records machine translation combining multi-engine outputs with limited parallel data (2018) 0.02
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  6. Niemi, T.; Jämsen, J.: ¬A query language for discovering semantic associations, part II : sample queries and query evaluation (2007) 0.02
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  7. Niemi, T.; Jämsen , J.: ¬A query language for discovering semantic associations, part I : approach and formal definition of query primitives (2007) 0.02
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  8. Patrick, J.; Zhang, J.; Artola-Zubillaga, X.: ¬An architecture and query language for a federation of heterogeneous dictionary databases (2000) 0.02
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  9. Lawrie, D.; Mayfield, J.; McNamee, P.; Oard, P.W.: Cross-language person-entity linking from 20 languages (2015) 0.02
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    Abstract
    The goal of entity linking is to associate references to an entity that is found in unstructured natural language content to an authoritative inventory of known entities. This article describes the construction of 6 test collections for cross-language person-entity linking that together span 22 languages. Fully automated components were used together with 2 crowdsourced validation stages to affordably generate ground-truth annotations with an accuracy comparable to that of a completely manual process. The resulting test collections each contain between 642 (Arabic) and 2,361 (Romanian) person references in non-English texts for which the correct resolution in English Wikipedia is known, plus a similar number of references for which no correct resolution into English Wikipedia is believed to exist. Fully automated cross-language person-name linking experiments with 20 non-English languages yielded a resolution accuracy of between 0.84 (Serbian) and 0.98 (Romanian), which compares favorably with previously reported cross-language entity linking results for Spanish.
  10. Heid, U.; Jauss, S.; Krüger, K.; Hohmann, A.: Term extraction with standard tools for corpus exploration : experience from German (1996) 0.02
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    Source
    TKE'96: Terminology and knowledge engineering. Proceedings 4th International Congress on Terminology and Knowledge Engineering, 26.-28.8.1996, Wien. Ed.: C. Galinski u. K.-D. Schmitz
  11. Caseiro, D.: Automatic language identification bibliography : Last Update: 20 September 1999 (1999) 0.02
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    Type
    b
  12. Computational linguistics for the new millennium : divergence or synergy? Proceedings of the International Symposium held at the Ruprecht-Karls Universität Heidelberg, 21-22 July 2000. Festschrift in honour of Peter Hellwig on the occasion of his 60th birthday (2002) 0.02
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    Editor
    Klenner, M. u. H. Visser
  13. Noel, J.: Syntax, semantics and pragmatics in the automatic analysis of texts (1980) 0.01
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  14. Cowie, J.; Lehner, W.: Information extraction (1996) 0.01
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  15. Schwarz, C.: Natural language and information retrieval : Kommentierte Literaturliste zu Systemen, Verfahren und Tools (1986) 0.01
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    Source
    Informationsliguistische Texterschließung. Hrsg.: C. Schwarz u. G. Thurmair
  16. Snajder, J.: Distributional semantics of multi-word expressions (2013) 0.01
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    Content
    Folien einer Präsentation anlässlich COST Action IC1207 PARSEME Meeting, Warsaw, September 16, 2013. Vgl. den Beitrag: Snajder, J., P. Almic: Modeling semantic compositionality of Croatian multiword expressions. In: Informatica. 39(2015) H.3, S.301-309.
  17. Jones, D.: Analogical natural language processing (1996) 0.01
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    Classification
    Spr B 68 / Computerlinguistik
    SBB
    Spr B 68 / Computerlinguistik
  18. Guthrie, L.; Pustejovsky, J.; Wilks, Y.; Slator, B.M.: ¬The role of lexicons in natural language processing (1996) 0.01
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  19. Wiebe, J.; Hirst, G.; Horton, D.: Language use in context (1996) 0.01
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  20. Godby, J.: Two techniques for the identification of phrases in full text (1995) 0.01
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Years

Languages

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  • el 13
  • m 11
  • s 11
  • p 2
  • b 1
  • x 1
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