Isabelle Augenstein

research

∙ 05/09/2022

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection

Counterfactually Augmented Data (CAD) aims to improve out-of-domain gene...

Indira Sen, et al. ∙

research

∙ 05/04/2022

Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models

The success of multilingual pre-trained models is underpinned by their a...

Karolina Stańczak, et al. ∙

research

∙ 04/05/2022

Fact Checking with Insufficient Evidence

Automating the fact checking (FC) process relies on information obtained...

Pepa Atanasova, et al. ∙

research

∙ 03/25/2022

Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

Language embeds information about social, cultural, and political values...

Arnav Arora, et al. ∙

research

∙ 03/24/2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Automated scientific fact checking is difficult due to the complexity of...

Dustin Wright, et al. ∙

research

∙ 02/14/2022

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Learning scientific document representations can be substantially improv...

Malte Ostendorff, et al. ∙

research

∙ 01/20/2022

A Latent-Variable Model for Intrinsic Probing

The success of pre-trained contextualized representations has prompted r...

Karolina Stańczak, et al. ∙

research

∙ 12/28/2021

A Survey on Gender Bias in Natural Language Processing

Language can be used as a means of reproducing and enforcing harmful ste...

Karolina Stańczak, et al. ∙

research

∙ 12/22/2021

Quantifying Gender Biases Towards Politicians on Reddit

Despite attempts to increase gender parity in politics, global efforts h...

Sara Marjanovic, et al. ∙

research

∙ 12/13/2021

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

Fact-checking systems have become important tools to verify fake and mis...

Shailza Jolly, et al. ∙

research

∙ 09/15/2021

Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?

There have been many efforts to try to understand what gram-matical know...

Sagnik Ray Choudhury, et al. ∙

research

∙ 09/14/2021

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?

As NLP models are increasingly deployed in socially situated settings su...

Indira Sen, et al. ∙

research

∙ 09/13/2021

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

The goal of stance detection is to determine the viewpoint expressed in ...

Momchil Hardalov, et al. ∙

research

∙ 09/08/2021

Diagnostics-Guided Explanation Generation

Explanations shed light on a machine learning model's rationales and can...

Pepa Atanasova, et al. ∙

research

∙ 08/30/2021

Semi-Supervised Exaggeration Detection of Health Science Press Releases

Public trust in science depends on honest and factual communication of s...

Dustin Wright, et al. ∙

research

∙ 08/23/2021

Towards Explainable Fact Checking

The past decade has seen a substantial rise in the amount of mis- and di...

Isabelle Augenstein, et al. ∙

research

∙ 07/27/2021

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

Alongside huge volumes of research on deep learning models in NLP in the...

Anna Rogers, et al. ∙

research

∙ 06/02/2021

Is Sparse Attention more Interpretable?

Sparse attention has been claimed to increase model interpretability und...

Clara Meister, et al. ∙

research

∙ 05/30/2021

Determining the Credibility of Science Communication

Most work on scholarly document processing assumes that the information ...

Isabelle Augenstein, et al. ∙

research

∙ 05/23/2021

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding

Scientific document understanding is challenging as the data is highly d...

Dustin Wright, et al. ∙

research

∙ 04/15/2021

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models

While the prevalence of large pre-trained language models has led to sig...

Karolina Stańczak, et al. ∙

research

∙ 04/15/2021

Cross-Domain Label-Adaptive Stance Detection

Stance detection concerns the classification of a writer's viewpoint tow...

Momchil Hardalov, et al. ∙

research

∙ 03/31/2021

A Neighbourhood Framework for Resource-Lean Content Flagging

We propose a novel interpretable framework for cross-lingual content fla...

Sheikh Muhammad Sarwar, et al. ∙

research

∙ 03/03/2021

University of Copenhagen Participation in TREC Health Misinformation Track 2020

In this paper, we describe our participation in the TREC Health Misinfor...

Lucas Chaves Lima, et al. ∙

research

∙ 02/27/2021

A Survey on Stance Detection for Mis- and Disinformation Identification

Detecting attitudes expressed in texts, also known as stance detection, ...

Momchil Hardalov, et al. ∙

research

∙ 02/27/2021

Detecting Abusive Language on Online Platforms: A Critical Analysis

Abusive language on online platforms is a major societal problem, often ...

Preslav Nakov, et al. ∙

research

∙ 02/25/2021

A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives

Modern natural language processing (NLP) methods employ self-supervised ...

Nils Rethmeier, et al. ∙

research

∙ 01/28/2021

Disembodied Machine Learning: On the Illusion of Objectivity in NLP

Machine Learning seeks to identify and encode bodies of knowledge within...

Zeerak Waseem, et al. ∙

research

∙ 01/28/2021

Does Typological Blinding Impede Cross-Lingual Sharing?

Bridging the performance gap between high- and low-resource languages ha...

Johannes Bjerva, et al. ∙

research

∙ 12/10/2020

Multi-Sense Language Modelling

The effectiveness of a language model is influenced by its token represe...

Andrea Lekkas, et al. ∙

research

∙ 12/10/2020

Longitudinal Citation Prediction using Temporal Graph Neural Networks

Citation count prediction is the task of predicting the number of citati...

Andreas Nugaard Holm, et al. ∙

research

∙ 10/16/2020

SIGTYP 2020 Shared Task: Prediction of Typological Features

Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 20...

Johannes Bjerva, et al. ∙

research

∙ 10/08/2020

What Can We Do to Improve Peer Review in NLP?

Peer review is our best tool for judging the quality of conference submi...

Anna Rogers, et al. ∙

research

∙ 10/07/2020

Unsupervised Evaluation for Question Answering with Transformers

It is challenging to automatically evaluate the answer of a QA model at ...

Lukas Muttenthaler, et al. ∙

research

∙ 10/02/2020

Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data

For natural language processing (NLP) tasks such as sentiment or topic c...

Nils Rethmeier, et al. ∙

research

∙ 09/25/2020

A Diagnostic Study of Explainability Techniques for Text Classification

Recent developments in machine learning have introduced models that appr...

Pepa Atanasova, et al. ∙

research

∙ 09/17/2020

Generating Label Cohesive and Well-Formed Adversarial Claims

Adversarial attacks reveal important vulnerabilities and flaws of traine...

Pepa Atanasova, et al. ∙

research

∙ 09/16/2020

Transformer Based Multi-Source Domain Adaptation

In practical machine learning settings, the data on which a model must m...

Dustin Wright, et al. ∙

research

∙ 09/10/2020

Multi-Hop Fact Checking of Political Claims

Recently, novel multi-hop models and datasets have been introduced to ac...

Wojciech Ostrowski, et al. ∙

research

∙ 09/10/2020

Time-Aware Evidence Ranking for Fact-Checking

Truth can vary over time. Therefore, fact-checking decisions on claim ve...

Liesbeth Allein, et al. ∙

research

∙ 08/20/2020

Inducing Language-Agnostic Multilingual Representations

Multilingual representations have the potential to make cross-lingual sy...

Wei Zhao, et al. ∙

research

∙ 05/07/2020

2kenize: Tying Subword Sequences for Chinese Script Conversion

Simplified Chinese to Traditional Chinese character conversion is a comm...

Pranav A, et al. ∙

research

∙ 04/29/2020

SubjQA: A Dataset for Subjectivity and Review Comprehension

Subjectivity is the expression of internal opinions or beliefs which can...

Johannes Bjerva, et al. ∙

research

∙ 04/13/2020

Generating Fact Checking Explanations

Most existing work on automated fact checking is concerned with predicti...

Pepa Atanasova, et al. ∙

research

∙ 03/05/2020

Zero-Shot Cross-Lingual Transfer with Meta Learning

Learning what to share between tasks has been a topic of high importance...

Farhad Nooralahzadeh, et al. ∙

research

∙ 03/05/2020

Fact Check-Worthiness Detection as Positive Unlabelled Learning

A critical component of automatically combating misinformation is the de...

Dustin Wright, et al. ∙

research

∙ 12/02/2019

TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

While state-of-the-art NLP explainability (XAI) methods focus on supervi...

Nils Rethmeier, et al. ∙

research

∙ 11/20/2019

Joint Emotion Label Space Modelling for Affect Lexica

Emotion lexica are commonly used resources to combat data poverty in aut...

Luna De Bruyne, et al. ∙

research

∙ 10/03/2019

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Digital media enables not only fast sharing of information, but also dis...

Mareike Hartmann, et al. ∙

research

∙ 09/30/2019

Retrieval-based Goal-Oriented Dialogue Generation

Most research on dialogue has focused either on dialogue generation for ...

Ana Valeria Gonzalez, et al. ∙

Isabelle Augenstein

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