Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …

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 goal of argumentation mining, an evolving research field in computational linguistics, is
to design methods capable of analyzing people's argumentation. In this article, we go …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

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 …

© 2014 Association for Computational Linguistics. We describe a new dependency parser
for English tweets, TWEEBOPARSER. The parser builds on several contributions: new …

Real world data differs radically from the benchmark corpora we use in natural language
processing (NLP). As soon as we apply our technologies to the real world, performance …

In this paper, we present the final version of a publicly available treebank of Finnish, the
Turku Dependency Treebank. The treebank contains 204,399 tokens (15,126 sentences) …

Social media features a wide range of non‐standard spellings, many of which appear
inspired by phonological variation. However, the nature of the connection between variation …

In natural language processing (NLP) annotation projects, we use inter-annotator
agreement measures and annotation guidelines to ensure consistent annotations. However …