Elizabeth D. Liddy

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Credibility is a perceived quality and is evaluated with at least two major components: trustworthiness and expertise. Weblogs (or blogs) are a potentially fruitful genre for exploration of credibility assessment due to public disclosure of information that might reveal trustworthiness and expertise by webloggers (or bloggers) and availability of audience(More)
1. Introduction Information retrieval (IR) research has reached a point where it is appropriate to assess progress and to define a research agenda for the next five to ten years. This report summarizes a discussion of IR research challenges that took place at a recent workshop. The attendees of the workshop considered information retrieval research in a(More)
In this paper, we describe the most recent implementation and evaluation of the proper noun categorization and standardization module of the DR-LINK document detection system being developed at Syracuse University, under the auspices of ARPA's TIPSTER program. We also discuss the expansion of group common nouns and group proper nouns to enhance retrieval(More)
This paper is an exploratory study of one approach to incorporating situational information into information retrieval systems, drawing on principles and methods of discourse linguistics. A tenet of discourse linguistics is that texts of a specific type possess a structure above the syntactic level, which follows conventions known to the people using such(More)
The research in this paper describes a Machine Learning technique called hierarchical text categorization which is used to solve the problem of finding equivalents from among different state and national education standards. The approach is based on a set of manually aligned standards and utilizes the hierarchical structure present in the standards to(More)
We have developed MetaExtract, a system to automatically assign Dublin Core + GEM metadata using extraction techniques from our natural language processing research MetaExtract is comprised of three distinct processes: eQuery and HTML-based Extraction modules and a Keyword Generator module. We conducted a Web-based survey to have users evaluate each(More)
Texts of a particular type evidence a discernible, predictable schema. These schemata can be delineated, and as such provide models of their respective text-types which are of use in automatically structuring texts. We have developed a Text Structurer module which recognizes text-level structure for use within a larger information retrieval system to(More)