The rise of social media has brought computational linguistics in ever-closer contact with
bad language: text that defies our expectations about vocabulary, spelling, and syntax. This …

The experimental landscape in natural language processing for social media is too
fragmented. Each year, new shared tasks and datasets are proposed, ranging from classics …

Sarcasm is a nuanced form of language in which individuals state the opposite of what is
implied. With this intentional ambiguity, sarcasm detection has always been a challenging …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

While various claims have been made about text in social media text being noisy, there has
never been a systematic study to investigate just how linguistically noisy or otherwise it is …

Pro-eating disorder (pro-ED) communities on social media encourage the adoption and
maintenance of disordered eating habits as acceptable alternative lifestyles rather than …

Abstract Named Entity Recognition (NER) is a key NLP task, which is all the more
challenging on Web and user-generated content with their diverse and continuously …

The availability of microblogging, like Twitter and Sina Weibo, makes it a popular platform for
spammers to unfairly overpower normal users with unwanted content via social networks …

One of the main obstacles, hampering method development and comparative evaluation of
named entity recognition in social media, is the lack of a sizeable, diverse, high quality …

Within the CSCW community, little has been done to systematically analyze online eating
disorder (ED) user generated content. In this paper, we present the results of a cross …