A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
We present in this paper an approach to assessing student paraphrases in the intelligent tutoring system iSTART. The approach is based on measuring the semantic similarity between ...
Vasile Rus, Mihai C. Lintean, Arthur C. Graesser, ...
The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such ...
Paula Cristina Vaz, David Martins de Matos, Nuno J...
This paper proposes the use of several ontological techniques to provide a semantic level solution for a search agent so that it can provide fast, precise, and stable search resul...
Abstract. The ACORN provides an agent-based architecture for information retrieval and provision across networks. The main objective of this paper is to present the design and impl...
Hui Yu, Ali A. Ghorbani, Virendra C. Bhavsar, Step...