More of the social world lives within electronic text than ever before, from collective activity
on the web, social media, and instant messaging to online transactions, government …

Large, labeled datasets have driven deep learning methods to achieve expert-level
performance on a variety of medical imaging tasks. We present CheXpert, a large dataset …

Dependency grammar is a descriptive and theoretical tradition in linguistics that can be
traced back to antiquity. It has long been influential in the European linguistics tradition and …

There is considerable interest in the task of automatically generating image captions.
However, evaluation is challenging. Existing automatic evaluation metrics are primarily …

Cross-linguistically consistent annotation is necessary for sound comparative evaluation
and cross-lingual learning experiments. It is also useful for multilingual system development …

Though dialectal language is increasingly abundant on social media, few resources exist for
developing NLP tools to handle such language. We conduct a case study of dialectal …

Explaining the variation between human languages and the constraints on that variation is a
core goal of linguistics. In the last 20 y, it has been claimed that many striking universals of …

This paper presents the methodology, design principles and detailed evaluation of a new
freely available multilayer corpus, collected and edited via classroom annotation using …

We provide a detailed overview of the various approaches that were proposed to date to
solve the task of Open Information Extraction. We present the major challenges that such …

Semantically complex queries which include attributes of objects and relations between
objects still pose a major challenge to image retrieval systems. Recent work in computer …