Adaptation of a Named Entity Recognition System for the ESTER 2 Evaluation Campaign

摘要：

In this paper, we report our participation to the ESTER 2 (Evaluation des Systèmes 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.

关键词： Named Entity Detection Evaluation Information Eztraction

作者: Caroline BRUN Maud EHRMANN

作者单位: Xerox Research Centre Europe Meylan, France

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-8

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）