ODUCTION ar sensors with dual-polarization capability etter understanding and characterization of hazards. Advanced knowledge-based hazard algorithms would require better knowledge of ttering characteristics of hydrometeors such as , hailstones, and snowflakes. Especially, characteristics becomes important for utilize phase-array dual-polarization radar Traditionally, theoretical approaches [1]...

This paper describes the updated system created by the University of Texas at Dallas for content-based medical record retrieval submitted to the TREC 2012 Medical Records Track. Our system updates our work from the previous year by building a structured query for each cohort that captures the patient’s age, gender, hospital status, and medical assertion information. Further, all keywords that e...

This paper examines an approach for combining two different methods for detecting errors in the output of a speech recognizer. The first method attempts to alleviate recognition errors by using an explicit model for detecting the presence of out-of-vocabulary (OOV) words. The second method identifies potentially misrecognized words from a set of confidence features extracted from the recognitio...

This paper describes the medical information retrieval (MIR) systems designed by the University of Texas at Dallas (UTD) for clinical decision support (CDS) which were submitted to the TREC 2014. We investigated the impact of various knowledge bases for automatic query expansion in the four officially submitted runs. Each of these systems exploits both Wikipedia and PubMed corpus statistics in ...

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a “knowledge gap” and other missing function words to generate natural ...