Search (100 results, page 4 of 5)

  • × theme_ss:"Computerlinguistik"
  1. Ahmed, F.; Nürnberger, A.: Evaluation of n-gram conflation approaches for Arabic text retrieval (2009) 0.01 
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  2. Zhang, C.; Zeng, D.; Li, J.; Wang, F.-Y.; Zuo, W.: Sentiment analysis of Chinese documents : from sentence to document level (2009) 0.01 
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  3. Vasalou, A.; Gill, A.J.; Mazanderani, F.; Papoutsi, C.; Joinson, A.: Privacy dictionary : a new resource for the automated content analysis of privacy (2011) 0.01 
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  4. Ghazzawi, N.; Robichaud, B.; Drouin, P.; Sadat, F.: Automatic extraction of specialized verbal units (2018) 0.01 
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  5. Corbara, S.; Moreo, A.; Sebastiani, F.: Syllabic quantity patterns as rhythmic features for Latin authorship attribution (2023) 0.01 
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  6. 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
  7. Schwarz, C.: THESYS: Thesaurus Syntax System : a fully automatic thesaurus building aid (1988) 0.01 
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    Date
    6. 1.1999 10:22:07
  8. Kay, M.: ¬The proper place of men and machines in language translation (1997) 0.01 
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    Date
    31. 7.1996 9:22:19
  9. Liddy, E.D.: Natural language processing for information retrieval and knowledge discovery (1998) 0.01 
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    Date
    22. 9.1997 19:16:05
  10. Godby, J.: WordSmith research project bridges gap between tokens and indexes (1998) 0.01 
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    Source
    OCLC newsletter. 1998, no.234, Jul/Aug, S.22-24
  11. Hammwöhner, R.: TransRouter revisited : Decision support in the routing of translation projects (2000) 0.01 
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    Date
    10.12.2000 18:22:35
  12. 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
  13. Paolillo, J.C.: Linguistics and the information sciences (2009) 0.01 
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    Date
    27. 8.2011 14:22:33
  14. Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008) 0.01 
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    Date
    22. 1.2011 10:38:28
  15. Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter - Language technologies for dynamic business in the age of the media - L'ingénierie linguistique au service de la dynamisation économique à l'ère du multimédia : Tagungsakten der XXVI. Jahrestagung der Internationalen Vereinigung Sprache und Wirtschaft e.V., 23.-25.11.2000 Fachhochschule Köln (2000) 0.01 
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    Content
    Enthält die Beiträge: WRIGHT, S.E.: Leveraging terminology resources across application boundaries: accessing resources in future integrated environments; PALME, K.: E-Commerce: Verhindert Sprache Business-to-business?; RÜEGGER, R.: Die qualität der virtuellen Information als Wettbewerbsvorteil: Information im Internet ist Sprache - noch; SCHIRMER, K. u. J. HALLER: Zugang zu mehrsprachigen Nachrichten im Internet; WEISS, A. u. W. WIEDEN: Die Herstellung mehrsprachiger Informations- und Wissensressourcen in Unternehmen; FULFORD, H.: Monolingual or multilingual web sites? An exploratory study of UK SMEs; SCHMIDTKE-NIKELLA, M.: Effiziente Hypermediaentwicklung: Die Autorenentlastung durch eine Engine; SCHMIDT, R.: Maschinelle Text-Ton-Synchronisation in Wissenschaft und Wirtschaft; HELBIG, H. u.a.: Natürlichsprachlicher Zugang zu Informationsanbietern im Internet und zu lokalen Datenbanken; SIENEL, J. u.a.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts; ERBACH, G.: Sprachdialogsysteme für Telefondienste: Stand der Technik und zukünftige Entwicklungen; SUSEN, A.: Spracherkennung: Akteulle Einsatzmöglichkeiten im Bereich der Telekommunikation; BENZMÜLLER, R.: Logox WebSpeech: die neue Technologie für sprechende Internetseiten; JAARANEN, K. u.a.: Webtran tools for in-company language support; SCHMITZ, K.-D.: Projektforschung und Infrastrukturen im Bereich der Terminologie: Wie kann die Wirtschaft davon profitieren?; SCHRÖTER, F. u. U. MEYER: Entwicklung sprachlicher Handlungskompetenz in englisch mit hilfe eines Multimedia-Sprachlernsystems; KLEIN, A.: Der Einsatz von Sprachverarbeitungstools beim Sprachenlernen im Intranet; HAUER, M.: Knowledge Management braucht Terminologie Management; HEYER, G. u.a.: Texttechnologische Anwendungen am Beispiel Text Mining
  16. Li, W.; Wong, K.-F.; Yuan, C.: Toward automatic Chinese temporal information extraction (2001) 0.01 
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  17. Ibekwe-SanJuan, F.; SanJuan, E.: From term variants to research topics (2002) 0.01 
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  18. Peng, F.; Huang, X.: Machine learning for Asian language text classification (2007) 0.01 
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  19. Shaalan, K.; Raza, H.: NERA: Named Entity Recognition for Arabic (2009) 0.01 
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    Abstract
    Name identification has been worked on quite intensively for the past few years, and has been incorporated into several products revolving around natural language processing tasks. Many researchers have attacked the name identification problem in a variety of languages, but only a few limited research efforts have focused on named entity recognition for Arabic script. This is due to the lack of resources for Arabic named entities and the limited amount of progress made in Arabic natural language processing in general. In this article, we present the results of our attempt at the recognition and extraction of the 10 most important categories of named entities in Arabic script: the person name, location, company, date, time, price, measurement, phone number, ISBN, and file name. We developed the system Named Entity Recognition for Arabic (NERA) using a rule-based approach. The resources created are: a Whitelist representing a dictionary of names, and a grammar, in the form of regular expressions, which are responsible for recognizing the named entities. A filtration mechanism is used that serves two different purposes: (a) revision of the results from a named entity extractor by using metadata, in terms of a Blacklist or rejecter, about ill-formed named entities and (b) disambiguation of identical or overlapping textual matches returned by different name entity extractors to get the correct choice. In NERA, we addressed major challenges posed by NER in the Arabic language arising due to the complexity of the language, peculiarities in the Arabic orthographic system, nonstandardization of the written text, ambiguity, and lack of resources. NERA has been effectively evaluated using our own tagged corpus; it achieved satisfactory results in terms of precision, recall, and F-measure.
  20. Collovini de Abreu, S.; Vieira, R.: RelP: Portuguese open relation extraction (2017) 0.01 
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    Abstract
    Natural language texts are valuable data sources in many human activities. NLP techniques are being widely used in order to help find the right information to specific needs. In this paper, we present one such technique: relation extraction from texts. This task aims at identifying and classifying semantic relations that occur between entities in a text. For example, the sentence "Roberto Marinho is the founder of Rede Globo" expresses a relation occurring between "Roberto Marinho" and "Rede Globo." This work presents a system for Portuguese Open Relation Extraction, named RelP, which extracts any relation descriptor that describes an explicit relation between named entities in the organisation domain by applying the Conditional Random Fields. For implementing RelP, we define the representation scheme, features based on previous work, and a reference corpus. RelP achieved state of the art results for open relation extraction; the F-measure rate was around 60% between the named entities person, organisation and place. For better understanding of the output, we present a way for organizing the output from the mining of the extracted relation descriptors. This organization can be useful to classify relation types, to cluster the entities involved in a common relation and to populate datasets.

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  • a 81
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  • x 3
  • p 2
  • d 1
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