In this paper, we study the maintenance of frequent patterns in the context of the generator representation. The generator representation is a concise and lossless representation o...
We describe a new algorithm for table-driven parsing with context-free grammars designed to support efficient syntactic analysis of natural language. The algorithm provides a gene...
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
This paper presents an algorithm for exact pattern matching based on a new type of Bloom filter that we call a feed-forward Bloom filter. Besides filtering the input corpus, a ...
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...