In this work, we propose an iterative methodology to extract an application-specific gold standard dataset from a knowledge graph and an evaluation framework to comparatively assess the quality of noisy automatically extracted taxonomies.
In this paper, we address the problem of automatically constructing a relevant corpus of scientific articles about food-drug interactions.
Text analysis methods for the automatic identification of emerging technologies by analyzing the scientific publications, are gaining attention because of their socio-economic impact.
In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference.
In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus.
Enterprise content analysis and platform configuration for enterprise content management is often carried out by external consultants that are not necessarily domain experts.