… Here for the first time we present a shared task on detecting stance from tweets: given a tweet
and … to in the tweet, and it may or may not be the target of opinion. Two tasks are proposed. …

… This paper describes our approach for the Detecting Stance in Tweets task (SemEval-2016
Task 6). We utilized recent advances in short text categorization using deep learning to cre…

… SemEval-2016 Task 6, Detecting Stance in Tweets. This effort achieved the top score in Task
A on supervised stance detection… when assessing whether a tweet author was in favor or …

… our submissions to Task 6, ie, Detecting Stance in Tweets, in SemEval 2016, which aims
at detecting the stance of tweets towards given target. There are three stance labels: Favor (…

… In this paper, we develop a convolutional neural network for stance detection in tweets. Ac…
(among 19 teams) on the twitter test set of SemEval2016 Task 6. The main contribution of our …

… of Sheffield’s submission to the SemEval 2016 Twitter Stance Detection weakly … task (SemEval
2016 Task 6, Subtask B). In stance detection, the goal is to classify the stance of a tweet …

… shared task on automated stance detection (SemEval 2016 Task 6). We consider the task as
… to determine whether a tweet has any stance at all, we compare each tweet with the whole …

… was trained to predict task-relevant hashtags on a very large unlabeled Twitter corpus. This
net… a stance detection system that is much simpler than the SemEval-2016 Task #6 winning …

… submitted to the SemEval-2016 for detecting stance in tweets (Task 6, Subtask A). One of
the main goals of stance detection is to automatically determine the stance of a tweet towards a …

… This paper describe a weakly supervised solution for detecting stance in tweets, submitted
to the SemEval 2016 Stance Task. Our approach is based on the premise that stance can be …