In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
We address two problems of technical authors in structured environments: (1) Structure definitions of the SGML school are limiting: they require one primary hierarchy and do not c...
Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
This research’s primary contribution is providing a relatively straightforward, sustainable infrastructure for integrating documents and services. Users see a totally integrated...