Marking up search queries with linguistic annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of query processing and understanding in ...
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
The University of Chicago participated in the Cross-Language Evaluation Forum 2004 (CLEF2004) cross-language multilingual, bilingual, and spoken language tracks. Cross-language exp...
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Question answering (QA) systems take users’ natural language questions and retrieve relevant answers from large repositories of free texts. Despite recent progress in QA researc...