In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
This paper proposes a method of collecting a dozen terms that are closely related to a given seed term. The proposed method consists of three steps. The first step, compiling cor...
We present an LFG-DOP parser which uses fragments from LFG-annotated sentences to parse new sentences. Experiments with the Verbmobil and Homecentre corpora show that (1) Viterbi ...
Planning systems for real-world applications need the ability to handle concurrency and numeric fluents. Nevertheless, the predominant approach to cope with concurrency followed b...
Relying on the Cluster Hypothesis, which states that relevant documents tend to be more similar one to each other than to non-relevant ones, most of information retrieval systems p...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...