Event Evolution Modeling for Efficient News Search

NewsMiner: Multifaceted news analysis for event search

http://dx.doi.org/10.1016/j.knosys.2014.11.017 0950-7051/ 2014 Elsevier B.V. All rights reserved. ⇑ Corresponding author. Tel.: +86 (010) 62789831; fax: +86 (010) 62781461. E-mail addresses: [email protected] (L. Hou), [email protected]. edu.cn (J. Li), [email protected] (Z. Wang), [email protected] (J. Tang), [email protected] (P. Zhang), [email protected]...

Redefining Event Variables for Efficient Modeling of

We define events so as to reduce the number of events and decision variables needed for modeling batchscheduling problems such as described in [Westenberger and Kallrath (1994)]. We propose a new MILP formulation based on this concept, defining non-uniform time periods as needed and decision variables that are not time-indexed. It can handle complicated multi-product/multi-stage machine process...

Modeling Efficient Serial Visual Search

Humans perform visual search fairly efficiently, finding targets within only a few fixations. Data from eye-tracked participants was subjected to a fixation by fixation analysis to pinpoint why participants tended to make fewer fixations than would be expected by chance. The goal of this paper is to present a computational model that performs visual search as efficiently as humans. The model va...

Inferring Activity Time in News through Event Modeling

Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective algorithm for identifying the activity time of an event in news is difficult in part because of the sparsity of explicit temporal expressions. This paper describes a domain-independent machine-learning based approach t...

Integrated semantic-syntactic video event modeling for search and retrieval