research
∙
05/22/2023
How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning
Multilingual large language models (MLLMs) are jointly trained on data f...
share
research
∙
05/15/2023
What's the Meaning of Superhuman Performance in Today's NLU?
In the last five years, there has been a significant focus in Natural La...
research
∙
02/17/2023
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
The task of multimodal referring expression comprehension (REC), aiming ...
research
∙
01/25/2023
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs
We present FewShotTextGCN, a novel method designed to effectively utiliz...
research
∙
11/28/2022
Scientific and Creative Analogies in Pretrained Language Models
This paper examines the encoding of analogy in large-scale pretrained la...
research
∙
10/31/2022
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks
Large multilingual language models typically share their parameters acro...
research
∙
10/31/2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
It has been experimentally demonstrated that humans are able to learn in...
research
∙
09/21/2021
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
In this paper, we investigate what types of stereotypical information ar...
research
∙
06/10/2021
Ruddit: Norms of Offensiveness for English Reddit Comments
On social media platforms, hateful and offensive language negatively imp...
research
∙
06/05/2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
A critical challenge faced by supervised word sense disambiguation (WSD)...
research
∙
04/10/2021
Meta-learning for fast cross-lingual adaptation in dependency parsing
Meta-learning, or learning to learn, is a technique that can help to ove...
research
∙
04/08/2021
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
Metaphors are widely used in political rhetoric as an effective framing ...
research
∙
03/31/2021
The User behind the Abuse: A Position on Ethics and Explainability
Abuse on the Internet is an important societal problem of our time. Mill...
research
∙
01/28/2021
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
Computational modelling of political discourse tasks has become an incre...
research
∙
01/27/2021
Multilingual and cross-lingual document classification: A meta-learning approach
The great majority of languages in the world are considered under-resour...
research
∙
12/23/2020
A Multimodal Framework for the Detection of Hateful Memes
An increasingly common expression of online hate speech is multimodal in...
research
∙
10/24/2020
Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models
Multilingual sentence encoders are widely used to transfer NLP models ac...
research
∙
09/27/2020
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties
Multilingual sentence encoders have seen much success in cross-lingual m...
research
∙
09/10/2020
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Lifelong learning requires models that can continuously learn from seque...
research
∙
08/14/2020
Graph-based Modeling of Online Communities for Fake News Detection
Over the past few years, there has been substantial effort towards autom...
research
∙
05/28/2020
Joint Modelling of Emotion and Abusive Language Detection
The rise of online communication platforms has been accompanied by some ...
research
∙
04/29/2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Deep learning methods typically rely on large amounts of annotated data ...
research
∙
12/15/2019
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings
The lack of annotated data in many languages is a well-known challenge w...
research
∙
08/13/2019
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Abuse on the Internet represents an important societal problem of our ti...
research
∙
04/05/2019
Abusive Language Detection with Graph Convolutional Networks
Abuse on the Internet represents a significant societal problem of our t...
research
∙
04/03/2019
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification
Most current approaches to metaphor identification use restricted lingui...
research
∙
02/14/2019
Author Profiling for Hate Speech Detection
The rapid growth of social media in recent years has fed into some highl...
research
∙
09/02/2018
Neural Character-based Composition Models for Abuse Detection
The advent of social media in recent years has fed into some highly unde...
research
∙
07/02/2018
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
Addressing the cross-lingual variation of grammatical structures and mea...
research
∙
09/02/2017
