English. We address the problem of recogni-tion of medical entities in clinical records written in Italian. We report on experiments performed on medical data in English provid-ed in the shared tasks at CLEF-ER 2013 and SemEval 2014. This allowed us to refine Named Entity recognition techniques to deal with the specifics of medical and clinical lan-guage in particular. We present two ap-proaches for transferring the techniques to Italian. One solution relies on the creation of an Italian corpus of annotated clinical records and the other on adapting existing linguistic tools to the medical domain. Italiano. Questo lavoro affronta il problema del riconoscimento di entità mediche in refer-ti medici in lingua italiana. Riferiamo su de-gli espe...
Because of the importance of the information conveyed by the clinical documents and owing to the lar...
The article shall cover issues related to the plurality of names of diseases in Italian, Polish and ...
Named Entity Recognition in the clinical domain and in languages different from English has the diff...
We address the problem of recognition of medical entities in clinical records written in Italian. We...
Abstract. We address the problem of extracting knowledge from large scale clinical records written i...
This paper proposes and discusses the use of text mining techniques for the extraction of informatio...
Of the various specialized languages, that of the medical sciences undergoes, perhaps, the fastest ...
The present research arose in the context of the specialized languages and, specifically, of the lan...
The aim of the present paper is to present some difficulties that any translator and/or interpreter...
In this paper we use Nooj to solve a recognition and translation task on medical terms with a morpho...
In the medical domain, there is a large amount of valuable information that is stored in textual fo...
The COrona VIrus Disease 19 (COVID-19) pandemic required the work of all global experts to tackle it...
In a context of digitalization and modernization of healthcare, automatic analysis of clinical data ...
Because of the importance of the information conveyed by the clinical documents and owing to the lar...
The article shall cover issues related to the plurality of names of diseases in Italian, Polish and ...
Named Entity Recognition in the clinical domain and in languages different from English has the diff...
We address the problem of recognition of medical entities in clinical records written in Italian. We...
Abstract. We address the problem of extracting knowledge from large scale clinical records written i...
This paper proposes and discusses the use of text mining techniques for the extraction of informatio...
Of the various specialized languages, that of the medical sciences undergoes, perhaps, the fastest ...
The present research arose in the context of the specialized languages and, specifically, of the lan...
The aim of the present paper is to present some difficulties that any translator and/or interpreter...
In this paper we use Nooj to solve a recognition and translation task on medical terms with a morpho...
In the medical domain, there is a large amount of valuable information that is stored in textual fo...
The COrona VIrus Disease 19 (COVID-19) pandemic required the work of all global experts to tackle it...
In a context of digitalization and modernization of healthcare, automatic analysis of clinical data ...
Because of the importance of the information conveyed by the clinical documents and owing to the lar...
The article shall cover issues related to the plurality of names of diseases in Italian, Polish and ...
Named Entity Recognition in the clinical domain and in languages different from English has the diff...