Summary of the paper

Title Eslo: From Transcription to Speakers' Personal Information Annotation
Authors Iris Eshkol, Denis Maurel and Nathalie Friburger
Abstract This paper presents the preliminary works to put online a French oral corpusand its transcription. This corpus is the Socio-Linguistic Survey in Orleans,realized in 1968. First, we numerized the corpus, then we handwrittentranscribed it with the Transcriber software adding different tags aboutspeakers, time, noise, etc. Each document (audio file and XML file of thetranscription) was described by a set of metadata stored in an XML format toallow an easy consultation. Second, we added different levels of annotations,recognition of named entities and annotation of personal information aboutspeakers. This two annotation tasks used the CasSys system of transducercascades. We used and modified a first cascade to recognize named entities.Then we built a second cascade to annote the designating entities, i.e.information about the speaker. These second cascade parsed the named entityannotated corpus. The objective is to locate information about the speaker and,also, what kind of information can designate him/her. These two cascades wasevaluated with precision and recall measures.
Language
Topics Corpus (creation, annotation, etc.), Information Extraction, Information Retrieval
Full paper Eslo: From Transcription to Speakers' Personal Information Annotation
Bibtex @InProceedings{ESHKOL10.678,
  author = {Iris Eshkol, Denis Maurel and Nathalie Friburger},
  title = {Eslo: From Transcription to Speakers' Personal Information Annotation},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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