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...
This paper investigates the detection of named entity (NE) patterns by comparing the results of NE patterns resulting from a user analysis and a system analysis. Findings revealed ...
In this paper, we describe a rote extractor that learns patterns for finding semantic relationships in unrestricted text, with new procedures for pattern generalization and scorin...
Enrique Alfonseca, Pablo Castells, Manabu Okumura,...
instrumental roles in titles of medical abstracts: a combined conceptual and modelling UML approach Topic – This paper provides a detailed description of the instrumental role in...
Web transaction data between web visitors and web functionalities usually convey users’ task-oriented behavior patterns. Clustering web transactions, thus, may capture such infor...