• DocumentCode
    2259987
  • Title

    Adaptation of a named entity recognition system for the ESTER 2 evaluation campaign

  • Author

    Brun, Caroline ; Ehrmann, Maud

  • Author_Institution
    Xerox Res. Centre Eur., Meylan, France
  • fYear
    2009
  • fDate
    24-27 Sept. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we report our participation to the ESTER 2 (Evaluation des Systemes de Transcription Enrichie d´Emissions Radiophoniques) evaluation campaign, on the Named Entity Recognition for French track. After describing the ESTER 2 goals and guidelines, we present our deep robust parser. Then we show how we adapt the existing French NER module of this parser to the ESTER 2 task. The results we obtain both on manual and automatic transcriptions are presented and discussed.
  • Keywords
    grammars; natural language processing; ESTER 2 evaluation campaign; Evaluation des Systegravemes de Transcription Enrichie d´Emissions Radiophoniques; French NER module; French language; named entity recognition system; parser; Data mining; Europe; Event detection; Guidelines; Natural language processing; Natural languages; Radio broadcasting; Robustness; Speech processing; Testing; Evaluation; Information Extraction; Named Entity Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-4538-7
  • Electronic_ISBN
    978-1-4244-4540-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2009.5313775
  • Filename
    5313775
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2259987