HITIQA: Towards analytical question answering

Sharon Small, Tomek Strzalkowski, Ting Liu, Sean Ryan, Robert Salkin, Nobuyuki Shimizu, Paul Kantor, Diane Kelly, Robert Rittman, Nina Wacholder

Research output: Contribution to conferencePaperpeer-review

19 Scopus citations


In this paper we describe the analytic question answering system HITIQA (High-Quality Interactive Question Answering) which has been developed over the last 2 years as an advanced research tool for information analysts. HITIQA is an interactive open-domain question answering technology designed to allow analysts to pose complex exploratory questions in natural language and obtain relevant information units to prepare their briefing reports. The system uses novel data-driven semantics to conduct a clarification dialogue with the user that explores the scope and the context of the desired answer space. The system has undergone extensive hands-on evaluations by a group of intelligence analysts. This evaluation validated the overall approach in HITIQA but also exposed limitations of the current prototype.

Original languageEnglish (US)
StatePublished - 2004
Externally publishedYes
Event20th International Conference on Computational Linguistics, COLING 2004 - Geneva, Switzerland
Duration: Aug 23 2004Aug 27 2004


Conference20th International Conference on Computational Linguistics, COLING 2004

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Language and Linguistics
  • Linguistics and Language


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