Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …

This book offers a highly accessible introduction to natural language processing, the field
that supports a variety of language technologies, from predictive text and email filtering to …

Text data are ubiquitous and play an essential role in big data applications. However, text
data are mostly unstructured. Transforming unstructured text into structured units (eg …

We describe a new dependency parser for English tweets, TWEEBOPARSER. The parser
builds on several contributions: new syntactic annotations for a corpus of tweets …

Standard named entity recognizers can effectively recognize entity mentions that consist of
contiguous tokens and do not overlap with each other. However, in practice, there are many …

This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence
Embedding, which consists of two subtasks:(a) a binary classification task aimed at …

Collocation is a common language phenomenon which has attracted the interest of
researchers in many subfields of both theoretical and computational linguistics. Although …

Metaphor is highly frequent in language, which makes its computational processing
indispensable for real-world NLP applications addressing semantic tasks. Previous …