Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …

Learning what to share between tasks has been a topic of great importance recently, as
strategic sharing of knowledge has been shown to improve downstream task performance …

Relation classification is one of the key topics in information extraction, which can be used to
construct knowledge bases or to provide useful information for question answering. Current …

Most, if not all forms of ellipsis (eg, so does Mary) are similar to reading comprehension
questions (what does Mary do), in that in order to resolve them, we need to identify an …

The past decade has seen a substantial rise in the amount of mis-and disinformation online,
from targeted disinformation campaigns to influence politics, to the unintentional spreading …

Politeness is key to successful conversations. It depicts the behavior that is socially valued
and is often accompanied by emotions. Previously, researchers have focused on detecting …

The economy of the twenty-first century has shaped the economic landscape and changed
the way market stakeholders interact with one another in a global market where national …

The area of sentiment analysis has been around for at least 20 years in one form or another.
In which time, it has had many and varied applications ranging from predicting film …

Real-world applications of natural language processing (NLP) are challenging. NLP models
rely heavily on supervised machine learning and require large amounts of annotated data …

Relation classification is one of the key topics in information extraction, which can be used to
construct knowledge bases or to provide useful information for question answering. Current …