Medical words exhibit a rich and productive morphology. Morphological knowledge is therefore very important for any medical language processing application. We propose a simple and...
— The creation of a robot capable of navigating in unknown urban environments without the use of GPS data or prior map knowledge is envisioned in the Autonomous City Explorer (AC...
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
This paper studies the influence of lexical semantic knowledge upon two related tasks: ad-hoc information retrieval and text similarity. For this purpose, we compare the performa...
In this paper we describe our experiments in finding answers from documents based on statistical and linguistic knowledge. We collected the candidate answers from sources available...