1,721,101 research outputs found
Multi-Site Data Collection for a Spoken Language Corpus: MADCOW
This paper describes a recently collected spoken language corpus for the ATIS (Air Travel Information System) domain. This data collection effort has been co-ordinated by MADCOW (Multi-site ATIS Data COllection Working group). We summarize the motivation for this effort, the goals, the implementation of a multi-site data collection paradigm, and the accomplishments of MADCOW in monitoring the collection and distribution of 12,000 utterances of spontaneous speech from five sites for use in a multi-site common evaluation of speech, natural language and spoken language. 1. Introduction Following the February 1991 DARPA Speech and Natural Language Workshop, the DARPA Spoken Language contractors decided to institute a multi-site data collection paradigm in order to: ffl support a common evaluation on speech, natural language and spoken language; ffl maximize the amount of data collected; ffl provide some diversity in data collection paradigms; ffl reduce cost to any one site by sharing..
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Integrating Syntax, Semantics, and Discourse DARPA (Defense Advanced Research Projects Agency) Natural Language Understanding Program
Integrating Syntax, Semantics, and Discourse DARPA Natural Language Understanding Program
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