A vast amount of scientific information is encoded in natural language text, and the quantity
of such text has become so great that it is no longer economically feasible to have a human …

The latest discoveries on diseases and their diagnosis/treatment are mostly disseminated in
the form of scientific publications. However, with the rapid growth of the biomedical literature …

BioC is a new simple XML format for sharing biomedical text and annotations and libraries to
read and write that format. This promotes the development of interoperable tools for natural …

PubMed® and other literature databases contain a wealth of information on diseases and
their diagnosis/treatment in the form of scientific publications. In order to take advantage of …

BioC is a recently created XML format to share text data and annotations, and an
accompanying input/output library to promote interoperability of data and tools for natural …

As part of a communitywide effort for evaluating text mining and information extraction
systems applied to the biomedical domain, BioC is focused on the goal of interoperability …

The disambiguation of abbreviations is a crucial step in medical knowledge organization. In
the past, most scholars have focused on the problem of disambiguating medical …

Disambiguation of ambiguous initialisms and acronyms is critical to the proper
understanding of various types of texts. A model that attempts to solve this has previously …

Motivation Biomedical entities, their identifiers and names, are essential in the
representation of biomedical facts and knowledge. In the same way, the complete set of …

NLP has emerged as an essential tool to extract knowledge from the exponentially
increasing volumes of biomedical texts. Many NLP tasks, such as named entity recognition …