607 citations · 1.6k across the 31 of their papers we have counts for
7 papers · 1 filter
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +5
Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becomi…
Simple Open Stance Classification for Rumour Analysis
Ahmet Aker, Leon Derczynski, Kalina Bontcheva
Stance classification determines the attitude, or stance, in a (typically short) text. The task has powerful applications, such as the detection of fake news or the automatic extra…
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data
Nattapong Sanchan, Ahmet Aker, Kalina Bontcheva
Usage of online textual media is steadily increasing. Daily, more and more news stories, blog posts and scientific articles are added to the online volumes. These are all freely ac…
Automatic Summarization of Online Debates
Nattapong Sanchan, Ahmet Aker, Kalina Bontcheva
Debate summarization is one of the novel and challenging research areas in automatic text summarization which has been largely unexplored. In this paper, we develop a debate summar…
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata +3
Media is full of false claims. Even Oxford Dictionaries named "post-truth" as the word of 2016. This makes it more important than ever to build systems that can identify the veraci…
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i.e. pieces of i…
Generalisation in Named Entity Recognition: A Quantitative Analysis
Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva
Named Entity Recognition (NER) is a key NLP task, which is all the more challenging on Web and user-generated content with their diverse and continuously changing language. This pa…