607 citations · 1.6k across the 31 of their papers we have counts for
20 papers · 1 filter
Hostility Detection in UK Politics: A Dataset on Online Abuse Targeting MPs
Mugdha Pandya, Mali Jin, Kalina Bontcheva +1
Numerous politicians use social media platforms, particularly X, to engage with their constituents. This interaction allows constituents to pose questions and offer feedback but al…
On the Impact of Temporal Concept Drift on Model Explanations
Zhixue Zhao, George Chrysostomou, Kalina Bontcheva +1
Explanation faithfulness of model predictions in natural language processing is typically evaluated on held-out data from the same temporal distribution as the training data (i.e.…
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
João A. Leite, Diego F. Silva, Kalina Bontcheva +1
Hate speech and toxic comments are a common concern of social media platform users. Although these comments are, fortunately, the minority in these platforms, they are still capabl…
Measuring What Counts: The case of Rumour Stance Classification
Carolina Scarton, Diego F. Silva, Kalina Bontcheva
Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies towar…
Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
Georg Rehm, Dimitrios Galanis, Penny Labropoulou +21
With regard to the wider area of AI/LT platform interoperability, we concentrate on two core aspects: (1) cross-platform search and discovery of resources and services; (2) composi…
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
Georg Rehm, Katrin Marheinecke, Stefanie Hegele +44
Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cr…
European Language Grid: An Overview
Georg Rehm, Maria Berger, Ela Elsholz +33
With 24 official EU and many additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). Europea…
RumourEval 2019: Determining Rumour Veracity and Support for Rumours
Genevieve Gorrell, Kalina Bontcheva, Leon Derczynski +3
This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event. Since the first RumourEval shared task in 2017, interest in automated c…
Helping Crisis Responders Find the Informative Needle in the Tweet Haystack
Leon Derczynski, Kenny Meesters, Kalina Bontcheva +1
Crisis responders are increasingly using social media, data and other digital sources of information to build a situational understanding of a crisis situation in order to design a…
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…
Using Gaussian Processes for Rumour Stance Classification in Social Media
Michal Lukasik, Kalina Bontcheva, Trevor Cohn +3
Social media tend to be rife with rumours while new reports are released piecemeal during breaking news. Interestingly, one can mine multiple reactions expressed by social media us…
Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos +1
Stance detection is the task of classifying the attitude expressed in a text towards a target such as Hillary Clinton to be "positive", negative" or "neutral". Previous work has as…
USFD: Twitter NER with Drift Compensation and Linked Data
Leon Derczynski, Isabelle Augenstein, Kalina Bontcheva
This paper describes a pilot NER system for Twitter, comprising the USFD system entry to the W-NUT 2015 NER shared task. The goal is to correctly label entities in a tweet dataset,…
Analysis of Named Entity Recognition and Linking for Tweets
Leon Derczynski, Diana Maynard, Giuseppe Rizzo +5
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area. Unlike carefully author…