Robust question answering for speech transcripts using minimal syntactic analysis

Pere R. Comas, Jordi Turmo, Mihai Surdeanu

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. For the handling of automatic transcripts we combine the QA system with a novel Passage Retrieval and Answer Extraction engine, which is based on a sequence alignment algorithm that searches for "sounds like" sequences in the document collection. We have also enriched the NERC with phonetic features to facilitate the recognition of named entities even when they are incorrectly transcribed.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - 2007
Event2007 Cross Language Evaluation Forum Workshop, CLEF 2007, co-located with the 11th European Conference on Digital Libraries, ECDL 2007 - Budapest, Hungary
Duration: Sep 19 2007Sep 21 2007


  • Phonetic distance
  • Question answering
  • Spoken document retrieval

ASJC Scopus subject areas

  • Computer Science(all)


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