We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

Distributed word representations, or word vectors, have recently been applied to many tasks
in natural language processing, leading to state-of-the-art performance. A key ingredient to …

This paper describes Facebook FAIR's submission to the WMT19 shared news translation
task. We participate in two language pairs and four language directions, English<-> German …

We present a new major release of the OpenSubtitles collection of parallel corpora. The
release is compiled from a large database of movie and TV subtitles and includes a total of …

This shared task focuses on identifying unusual, previously-unseen entities in the context of
emerging discussions. Named entities form the basis of many modern approaches to other …

Accurate detection of emotion from natural language has applications ranging from building
emotional chatbots to better understanding individuals and their lives. However, progress on …

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 …

For decades, researchers have experimented with the possibility that machines can equal
human linguistic capabilities. Recently, advances in the field of natural language processing …

The EU General Data Protection Regulation (GDPR) is one of the most demanding and
comprehensive privacy regulations of all time. A year after it went into effect, we study its …

The 7 Ps model is a very useful tool in helping service firms solve managerial issues in
marketing. Guided by the 7 Ps marketing mix framework, a big-data, supervised machine …