For the average biologist, hands-on literature mining currently means a keyword search in
PubMed. However, methods for extracting biomedical facts from the scientific literature have …

The past decade has seen a tremendous growth in the amount of experimental and
computational biomedical data, specifically in the areas of genomics and proteomics. This …

In response to the continuing research interest in computational semantic analysis, we have
proposed a new task for SemEval-2010: multi-way classification of mutually exclusive …

Up to now, work on semantic relations has focused on relation classification: recognizing
whether a given instance (a word pair such as virus: flu) belongs to a specific relation class …

Hypothesis generation, a crucial initial step for making scientific discoveries, relies on prior
knowledge, experience, and intuition. Chance connections made between seemingly …

We present a method for creating a network of gene co-occurrences from the literature and
partitioning it into communities of related genes. The way in which our method identifies …

We present BITOLA, an interactive literature-based biomedical discovery support system.
The goal of this system is to discover new, potentially meaningful relations between a given …

The immense growth in the volume of research literature and experimental data in the field
of molecular biology calls for efficient automatic methods to capture and store information. In …

Motivation: The living cell is a complex machine that depends on the proper functioning of its
numerous parts, including proteins. Understanding protein functions and how they modify …

The NLP community has shown a renewed interest in deeper semantic analyses, among
them automatic recognition of relations between pairs of words in a text. We present an …