This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
In order to evaluate the performance of information retrieval and extraction algorithms, we need test collections. A test collection consists of a set of documents, a clearly form...
Full-text information retrieval systems have traditionally been designed for archival environments. They often provide little or no support for adding new documents to an existing...
Spoken Document Retrieval (SDR) and Spoken Term Detection (STD) have been two of the most intensively investigated topics in spoken document processing research according to the e...
Portable, reusable test collections are a vital part of research and development in information retrieval. Reusability is difficult to assess, however. The standard approach— si...
Ben Carterette, Evangelos Kanoulas, Virgiliu Pavlu...