Previous research into the efficiency of text retrieval systems has dealt primarily with methods that consider inverted lists in sequence; these methods are known as term-at-a-tim...
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
It is important for future NLP systems to formulate the semantic equivalence (and more generally, the semantic similarity) of natural language expressions. In particular, paraphra...
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...
: Case-based diagnosis handling multiple faults is still a challenging task. In this paper we present methods for handling multiple faults, embedded in the standard CBR cycle. The ...