Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …

Importance Natural language processing (NLP) has the potential to accelerate translation of
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on
annotated logical forms, which is especially expensive to obtain at large scale, we learn from …

Alignments between natural language and Knowledge Base (KB) triples are an essential
prerequisite for training machine learning approaches employed in a variety of Natural …

Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …

" This book is an absolute necessity for instructors at all levels, as well as an indispensible
reference for researchers. Introducing NLP, computational linguistics, and speech …

We describe the design and use of the Stanford CoreNLP toolkit, an extensible pipeline that
provides core natural language analysis. This toolkit is quite widely used, both in the …

Real-world factoid or list questions often have a simple structure, yet are hard to match to
facts in a given knowledge base due to high representational and linguistic variability. For …

The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …