Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document...
Handling changes to programs and specifications efficiently is a particular challenge in formal software verification. Change impact analysis is an approach to this challenge where...
In this paper, we present an unsupervised hybrid model which combines statistical, lexical, linguistic, contextual, and temporal features in a generic EMbased framework to harvest...
This paper investigates the use of fuzzy logic mechanisms coming from the database community, namely graded inclusions, to model the information retrieval process. In this framewor...
Patrick Bosc, Vincent Claveau, Olivier Pivert, Lau...