We present the 1.0 release of our paraphrase database, PPDB. Its English portion, PPDB:
Eng, contains over 220 million paraphrase pairs, consisting of 73 million phrasal and 8 …

The openly available biomedical literature contains over 5 billion words in publication
abstracts and full texts. Recent advances in unsupervised language processing methods …

We study a comprehensive set of features used in supervised named entity recognition. We
explore various combinations of features and compare their impact on recognition …

Great writing is rare and highly admired. Readers seek out articles that are beautifully
written, informative and entertaining. Yet information-access technologies lack capabilities …

The issue of whether or not word sense disambiguation (WSD) can improve information
retrieval (IR) results has been intensely debated over the years, with many inconclusive or …

We describe a novel approach for automatically predicting the hidden demographic
properties of social media users. Building on prior work in common-sense knowledge …

Speakers of many different languages use the Internet. A common activity among these
users is uploading images and associating these images with words (in their own language) …

This paper is concerned with the task of bilingual lexicon induction using imagebased
features. By applying features from a convolutional neural network (CNN), we obtain state-of …

Motivated by work predicting coarsegrained author categories in social media, such as
gender or political preference, we explore whether Twitter contains information to support …

To address semantic ambiguities in coreference resolution, we use Web n-gram features
that capture a range of world knowledge in a diffuse but robust way. Specifically, we exploit …