Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

Despite recent advances in natural language processing, many statistical models for
processing text perform extremely poorly under domain shift. Processing biomedical and …

I examine what would be necessary to move part-of-speech tagging performance from its
current level of about 97.3% token accuracy (56% sentence accuracy) to close to 100 …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

We present posterior regularization, a probabilistic framework for structured, weakly
supervised learning. Our framework efficiently incorporates indirect supervision via …

We present Searn, an algorithm for integrating sear ch and l earn ing to solve complex
structured prediction problems such as those that occur in natural language, speech …

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 …

The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug
events (ADEs) with pharmaceutical products. This article is a comprehensive structured …

We proposed the first models based on recurrent neural networks (more specifically Long
Short-Term Memory-LSTM) for classifying relations from clinical notes. We tested our models …