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

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 conference › Paper › peer-review

19 Scopus citations

Abstract

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 language	English (US)
State	Published - 2004
Externally published	Yes
Event	20th International Conference on Computational Linguistics, COLING 2004 - Geneva, Switzerland Duration: Aug 23 2004 → Aug 27 2004

Conference

Conference	20th International Conference on Computational Linguistics, COLING 2004
Country/Territory	Switzerland
City	Geneva
Period	8/23/04 → 8/27/04

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Language and Linguistics
Linguistics and Language

Cite this

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

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T2 - 20th International Conference on Computational Linguistics, COLING 2004

AU - Small, Sharon

AU - Strzalkowski, Tomek

AU - Liu, Ting

AU - Ryan, Sean

AU - Salkin, Robert

AU - Shimizu, Nobuyuki

AU - Kantor, Paul

AU - Kelly, Diane

AU - Rittman, Robert

AU - Wacholder, Nina

N1 - Funding Information: 1 TREC QA is the annual Question Answering evaluation sponsored by the U.S. National Institute of Standards and Technology www.trec.nist.gov Publisher Copyright: © 2004 COLING 2004 - Proceedings of the 20th International Conference on Computational Linguistics. All rights reserved.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

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ER -

HITIQA: Towards analytical question answering

Abstract

Conference

All Science Journal Classification (ASJC) codes

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