183 citations · 552 across the 27 of their papers we have counts for
8 papers · 1 filter
A Multimodal Framework for the Detection of Hateful Memes
Phillip Lippe, Nithin Holla, Shantanu Chandra +4
An increasingly common expression of online hate speech is multimodal in nature and comes in the form of memes. Designing systems to automatically detect hateful content is of para…
The Teacher-Student Chatroom Corpus
Andrew Caines, Helen Yannakoudakis, Helena Edmondson +4
The Teacher-Student Chatroom Corpus (TSCC) is a collection of written conversations captured during one-to-one lessons between teachers and learners of English. The lessons took pl…
Analyzing Neural Discourse Coherence Models
Youmna Farag, Josef Valvoda, Helen Yannakoudakis +1
In this work, we systematically investigate how well current models of coherence can capture aspects of text implicated in discourse organisation. We devise two datasets of various…
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
Simon Flachs, Ophélie Lacroix, Helen Yannakoudakis +2
Evaluation of grammatical error correction (GEC) systems has primarily focused on essays written by non-native learners of English, which however is only part of the full spectrum…
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis +1
Lifelong learning requires models that can continuously learn from sequential streams of data without suffering catastrophic forgetting due to shifts in data distributions. Deep le…
Graph-based Modeling of Online Communities for Fake News Detection
Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis +3
Over the past few years, there has been a substantial effort towards automated detection of fake news on social media platforms. Existing research has modeled the structure, style,…
Joint Modelling of Emotion and Abusive Language Detection
Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis +1
The rise of online communication platforms has been accompanied by some undesirable effects, such as the proliferation of aggressive and abusive behaviour online. Aiming to tackle…
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis +1
The success of deep learning methods hinges on the availability of large training datasets annotated for the task of interest. In contrast to human intelligence, these methods lack…