Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Abstract Text documents usually embody visually oriented meta-information in the form of complex visual structures, such as tables. The semantics involved in such objects result in...
This paper introduces ELEON, an editor that allows the enrichment of OWL ontologies with linguistic and user-related annotations. The enriched ontologies are used by natural langu...
Dimitris Bilidas, Maria Theologou, Vangelis Karkal...
Background: Several high-throughput searches for ppotential natural antisense transcripts (NATs) have been performed recently, but most of the reports were focused on cis type. A ...
Yuan-Yuan Li, Lei Qin, Zong-Ming Guo, Lei Liu, Hao...
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...