Revising scientific papers based on peer feedback is a challenging task ...
With the recent advances in natural language processing (NLP), a vast nu...
This short technical report demonstrates a simple technique that yields ...
Analogies have been central to creative problem-solving throughout the
h...
Knowledge graph (KG) link prediction is a fundamental task in artificial...
Systems that can automatically define unfamiliar terms hold the promise ...
Combination therapies have become the standard of care for diseases such...
We stand at the foot of a significant inflection in the trajectory of
sc...
Predictive models for medical outcomes hold great promise for enhancing
...
We present Aspire, a new scientific document similarity model based on
m...
Keeping track of scientific challenges, advances and emerging directions...
Isolated silos of scientific research and the growing challenge of
infor...
Biomedical knowledge graphs (KGs) hold rich information on entities such...
Determining coreference of concept mentions across multiple documents is...
Web-scale repositories of products, patents and scientific papers offer ...
The urgency of mitigating COVID-19 has spawned a large and diverse body ...
The COVID-19 pandemic has sparked unprecedented mobilization of scientis...
While natural language understanding (NLU) is advancing rapidly, today's...
We present a deep learning system for testing graphics units by detectin...
For sales and marketing organizations within large enterprises, identify...
Crowdsourcing has become a popular method for collecting labeled trainin...
The availability of large idea repositories (e.g., the U.S. patent datab...
We are interested in estimating individual labels given only coarse,
agg...
We propose a simple and efficient time-series clustering framework
parti...