Abstract Background/Objectives: Some large-scale knowledge graphs (KGs) have been
released to enhance the application of Web of Data. This paper analyzes the development …

In this paper we present a new method to learn a model robust to typos for a Named Entity
Recognition task. Our improvement over existing methods helps the model to take into …

Terminological databases constitute a fundamental source of information in the medical
domain. They are used daily both by practitioners in the area, as well as in academia …

Clinical concept recognition (CCR) is a fundamental task in clinical natural language
processing (NLP) field. Almost all current machine learning-based CCR systems can only …

Currently, 30-35% of the global population uses the Internet. Furthermore, there is a rapidly
increasing number of non-English language internet users, accompanied by an also …

Currently, unstructured textual data analysis has attracted researchers' interest because it
offers valuable information into many fields such as business, education, political …

The work on the named entity recognition (NER) in databases of historical texts has been
placed among the most promising new ways to implement best recovery and managements …

Knowledge creation has emerged as a critical area in information systems research in the
past decade [1]. One of the mechanisms through which knowledge creation enhances firm …

This paper presents the results of the IxaMed team at the SemEval-2014 Shared Task 7 on
Analyzing Clinical Texts. We have developed three different systems based on: a) exact …

SemEval (Semantic Evaluation) is an annual workshop where attendees participate in a
series of evaluations (competitions) of computational semantic analysis for natural language …