Orphée De Clercq

TL;DR: This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015, which attracted 245 submissions from 29 teams and provided 19 training and 20 testing datasets.

TL;DR: The Dutch Parallel Corpus is presented, a high-quality parallel corpus for Dutch, French and English consisting of more than ten million words that is balanced with respect to text type and translation direction and available to the wide research community thanks to its copyright clearance.

TL;DR: It is concluded that readability assessment by comparing texts is a polyvalent methodology, which can be adapted to specific domains and target audiences if required.

TL;DR: This article investigates in close detail the feasibility of constructing a readability prediction system for English and Dutch generic text using supervised machine learning and shows that going beyond correlation calculations for readability optimization using a wrapper-based genetic algorithm optimization approach is a promising task.

TL;DR: A shared task where systems have to predict the emotions in a large automatically labeled dataset of tweets without access to words denoting emotions, and is called the Implicit Emotion Shared Task (IEST) because the systems has to infer the emotion mostly from the context.