We consider open domain event extraction, the task of extracting unconstraint types of
events from news clusters. A novel latent variable neural model is constructed, which is …

One challenge in text classification is that it is difficult to make feature reductions based on
the definition of the features. An ineffective feature reduction may even worsen the …

Retrieval pipelines commonly rely on a term-based search to obtain candidate records,
which are subsequently re-ranked. Some candidates are missed by this approach, eg, due …

One of Online Social Network (OSN) roles is a source of information, especially during an
emergency. Twitter is an OSN service that enables users to send and read message but is …

We present a contrastive study of document-level event classification of a range of seven
different event types, namely floods, storms, fires, armed conflict, terrorism, infrastructure …

Twitter is a microblogging website that allows users to post and read short messages
(tweets) with a character limit of 280 characters. It often leads to very short tweets, does not …

Twitter has become the foremost standard of social media in today's world. Over 335 million
users are online monthly, and near about 80% are accessing it through their mobiles …

Twitter stream has become a large source of information, but the magnitude of tweets posted
and the noisy nature of its content makes harvesting of knowledge from Twitter has …

News articles generated by online media are a major source of information. In this work, we
present News Monitor, a framework that automatically collects news articles from a wide …

The increasing number of news outlets and the frequency of the news cycle have made it all
but impossible to obtain the full picture from online news. Consolidating news from different …