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 …

In clinical treatment, two or more drugs (ie drug combination) are simultaneously or
successively used for therapy with the purpose of primarily enhancing the therapeutic …

Transfer learning aims to provide a framework to utilize previously-acquired knowledge to
solve new but similar problems much more quickly and effectively. In contrast to classical …

This paper proposes a history-based structured learning approach that jointly extracts
entities and relations in a sentence. We introduce a novel simple and flexible table …

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

Objective Social media is an important pharmacovigilance data source for adverse drug
reaction (ADR) identification. Human review of social media data is infeasible due to data …

Abstract The Conference on Computational Natural Language Learning features a shared
task, in which participants train and test their learning systems on the same data sets. In …

Transition-based dependency parsers generally use heuristic decoding algorithms but can
accommodate arbitrarily rich feature representations. In this paper, we show that we can …

Drug–drug interactions (DDIs) are crucial for drug research and pharmacovigilance. These
interactions may cause adverse drug effects that threaten public health and patient safety …

∗ Naturalistic learner productions are an important empirical resource for SLA research.
Some pioneering works have produced valuable second language (L2) resources …