Xavier Tannier

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: In this article, a calendar entry generation module generates a candidate calendar entry based on an extracted temporal expression and presents it to a user for consideration as calendar entry, allowing a user to ignore the candidate entry or to accept it.

TL;DR: A neural architecture for containment relation identification between medical events and/or temporal expressions is presented and the model achieves an F-measure of 0.613 and outperforms the best result reported on this corpus to date.

TL;DR: This paper presents a generative model to event schema induction that precisely represents elements other than head words using probabilistic topic distributions and illustrates that such information plays an important role in parameter estimation.

TL;DR: The 2016 CLEF eHealth Task 2 as mentioned in this paper extended the previous information extraction tasks of ShARe/CLEF ehealth evaluation labs by introducing a large-scale classification task in French death certificates, which consisted of extracting causes of death as coded in the International Classification of Diseases, tenth revision (ICD10).