A prerequisite for all higher level information extraction tasks is the identication of unknown names in text. Today, when large corpora can consist of billions of words, it is of...
Biomedical literature is an important source of information for chemical compounds. However, different representations and nomenclatures for chemical entities exist, which makes th...
Tiago Grego, Piotr Pezik, Francisco M. Couto, Diet...
To investigate the problem of entity recognition, we deal with the creation of the so-called Entity Name System (ENS) which is an open, public back-bone infrastructure for the (Sem...
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
In this paper we address the problem of extracting key pieces of information from voicemail messages, such as the identity and phone number of the caller. This task differs from t...