Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop.
In this task participants designed systems to identify substrings in sentences corresponding …

Evidence-based dietary information represented as unstructured text is a crucial information
that needs to be accessed in order to help dietitians follow the new knowledge arrives daily …

A drug–drug interaction (DDI) occurs when one drug influences the level or activity of
another drug. Information Extraction (IE) techniques can provide health care professionals …

Classification is known as the assignment of a class y∈ Y to an observation x∈ X. This task
can be approached with probability theory by specifying a probability distribution to select …

Motivation: Chemical compounds like small signal molecules or other biological active
chemical substances are an important entity class in life science publications and patents …

Motivation: Tagging gene and gene product mentions in scientific text is an important initial
step of literature mining. In this article, we describe in detail our gene mention tagger …

Objectives: Biomedical named entity recognition (BNER) is a critical component in
automated systems that mine biomedical knowledge in free text. Among different types of …

Entity extraction is an important step in biomedical text mining. Among many other
challenges, there are two very crucial issues, viz. determining the most applicable feature …

Recognizing and disambiguating bio-entities (genes, proteins, cells, etc.) names are very
challenging tasks as some biologica databases can be outdated, names may not be …

Background In order to improve information access on chemical compounds and drugs
(chemical entities) described in text repositories, it is very crucial to be able to identify …