This paper presents the framework and results from the MEX-A3T track at IberEval 2018.
This track considers two tasks, author profiling and aggressiveness detection, both of them …

As a relatively young field of research and development started by work on cryptanalysis
and machine translation around 50 years ago, natural language processing (NLP) is …

We present the task of second language acquisition (SLA) modeling. Given a history of
errors made by learners of a second language, the task is to predict errors that they are likely …

In this paper we investigate the linguistic knowledge learned by a Neural Language Model
(NLM) before and after a fine-tuning process and how this knowledge affects its predictions …

The issues of algorithmic fairness and bias have recently featured prominently in many
publications highlighting the fact that training the algorithms for maximum performance may …

This review provides an overview of current research on the known characteristics and
motivations of offenders engaging in cyber-dependent crimes. Due to the shifting dynamics …

We present the first comprehensive survey of Native Language Identification (NLI) applied to
texts. NLI is the task of automatically identifying an author's native language (L1) based on …

We present a computational analysis of cognate effects on the spontaneous linguistic
productions of advanced non-native speakers. Introducing a large corpus of highly …

In this paper, we present a crowdsourcing-based approach to model the human perception
of sentence complexity. We collect a large corpus of sentences rated with judgments of …

Short texts are omnipresent in real-time news, social network commentaries, etc. Traditional
text representation methods have been successfully applied to self-contained documents of …