Summary of the paper

Title FIDJI: Web Question-Answering at Quaero 2009
Authors Xavier Tannier and Véronique Moriceau
Abstract This paper presents the participation of FIDJI system to the Web Question-Answering evaluation campaign organized by Quaeroin 2009. FIDJI is an open-domain question-answering system which combines syntactic information with traditional QA techniques such as named entity recognition and term weighting in order to validate answers through multiple documents. It was originally designed to process ``clean'' document collections. Overall results are significantly lower than in traditional campaigns but results (for French evaluation) are quite good compared to other state-of-the-art systems. They show that a syntax-based strategy, applied on uncleaned Web data, can still obtain good results. Moreover, we obtain much higher scores on``complex'' questions, i.e. `how' and `why' questions, which are more representative of real user needs. These results show that questioning the Web with advanced linguistic techniques can be done without heavy pre-processing and with results that come near to best systems that use strong resources and large structured indexes.
Language Tools, systems, applications
Topics Question Answering, Information Extraction, Information Retrieval, Tools, systems, applications
Full paper FIDJI: Web Question-Answering at Quaero 2009
Bibtex @InProceedings{TANNIER10.68,
  author = {Xavier Tannier and Véronique Moriceau},
  title = {FIDJI: Web Question-Answering at Quaero 2009},
  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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