We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
We present an interface theory based approach to static analysis of actor models. We first introduce a new interface theory, which is based on Interface Automata, and which is ca...
Question Answering Systems (QAS) are receiving increasing attention from information systems researchers, particularly those in the information retrieval and natural language proc...