Abstract This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), study discourse variation over time. The MCA keywords deals with major issue use identify discourses: allocation individual multiple discourses. Yet, as this demonstrates, also allows us observe in prevalence discourses texts patterns keyword co-occurrence. Metadata c...

We propose a multiple-document summarization system with user interaction that summarizes more than one document to a document. Our system extracts keywords from sets of documents to be summarized and shows k best keywords with respect to scoring by our system to a user on the screen. From the shown keywords, the user selects those reflecting the user's summarization need. Our system controls t...

Authors are requested to select key words from the following list. You may use plurals and adjectives for combinations like absolute pupillary response, centrifugal optic nerve, inter blobs, etc. If key words are needed which do not appear in this list, please underline them. For animal classification the Latin nomenclature should be used. p-mechanism A-scan a-wave aberration absolute absorptio...

Keyword search is an intuitive paradigm for searching linked data sources on the web. We propose to route keywords only to relevant sources to reduce the high cost of processing keyword search queries over all sources. We propose a novel method for computing top-k routing plans based on their potentials to contain results for a given keyword query. We employ a keyword-element relationship summa...

We estimate a structural model of a sponsored search auction model. To accommodate the “position paradox”, we relax the assumption of decreasing click volumes with position ranks, which is often assumed in the literature. Using data from “Website X”, one of the largest online marketplaces in China, we find that merchants of different qualities adopt different bidding strategies: high quality me...

This paper describes the information extraction systems of PRIS at Temporal Summarization Track. The Temporal Summarization Track includes two tasks: sequential update summarization and value tracking. For the first task, we focus attention on keywords mining and sentence scoring. The system utilizes hierarchical Latent Dirichlet Allocation (LDA) to do keywords mining and score sentences with k...

A necessity of repeating alignments on a same pair of sequences to select an appropriate scoring function to detect a significance of score motivates us to work on higher performance matching technique. While overlapping each alignments obtained through a set of typical scoring matrix with its default gap cost, we observe significant parameters that may induce a maximum deviation from a referen...