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A linguistic analyzer based on KCTs (keyword classification trees) was trained on sentences from the ATIS (Air Travel Information System) air travel task and incorporated into the system (CHANEL) built at CRIM (Centre de Recherche Informatique de Montreal) for the Nov. 1992 ATIS benchmarks. Word sequences were
This paper presents a novel keyword selection-based spoken document-indexing framework that selects the best match keyword from query candidates using spoken term detection (STD) for spoken document retrieval. Our method comprises creating a keyword set including keywords that are likely to be in a spoken document
(n=1, 766), and Secretary Albright from 1997-2001 (n=1, 335). We use computer-assisted content analysis to find key themes for each Secretary and search for similarities between key themes and phrases. We find a limited number of similar keywords across the dataset, except International and Issues. However, the
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