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 …

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 …

The TermEval 2020 shared task provided a platform for researchers to work on automatic
term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction …

Abstract Multiword Expressions (MWEs) are a frequently occurring phenomenon found in all
natural languages that is of great importance to linguistic theory, natural language …

In this we paper present Tint 2.0, an open-source, fast and extendable Natural Language
Processing suite for Italian based on Stanford CoreNLP. The new release includes some …

The treatment of multiword expressions (MWEs), like take off, bus stop and big deal, is a
challenge for NLP applications. This kind of linguistic construction is not only arbitrary but …

Web 2.0 has allowed a never imagined communication boom. With the widespread use of
computational and mobile devices, anyone, in practically any language, may post comments …

The extensive use of Multiword Expressions (MWE) in natural language texts prompts more
detailed studies that aim for a more adequate treatment of these expressions. A MWE …

Abstract jMWE is a Java library for implementing and testing algorithms that detect Multi-
Word Expression (MWE) tokens in text. It provides (1) a detector API, including …

English language is in the spotlight of the Natural Language Processing (NLP) community
with other languages, like Greek, lagging behind in terms of offered methods, tools and …