Isabelle Augenstein

research

∙ 06/01/2023

Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection

Stance Detection is concerned with identifying the attitudes expressed b...

0 Erik Arakelyan, et al. ∙

research

∙ 05/29/2023

Faithfulness Tests for Natural Language Explanations

Explanations of neural models aim to reveal a model's decision-making pr...

0 Pepa Atanasova, et al. ∙

research

∙ 05/21/2023

Measuring Intersectional Biases in Historical Documents

Data-driven analyses of biases in historical texts can help illuminate t...

0 Nadav Borenstein, et al. ∙

research

∙ 05/18/2023

Multilingual Event Extraction from Historical Newspaper Adverts

NLP methods can aid historians in analyzing textual materials in greater...

3 Nadav Borenstein, et al. ∙

research

∙ 04/17/2023

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing

Dual use, the intentional, harmful reuse of technology and scientific ar...

0 Lucie-Aimée Kaffee, et al. ∙

research

∙ 04/12/2023

Measuring Gender Bias in West Slavic Language Models

Pre-trained language models have been known to perpetuate biases from th...

0 Sandra Martinková, et al. ∙

research

∙ 02/05/2023

TempEL: Linking Dynamically Evolving and Newly Emerging Entities

In our continuously evolving world, entities change over time and new, p...

0 Klim Zaporojets, et al. ∙

research

∙ 01/29/2023

Adapting Neural Link Predictors for Complex Query Answering

Answering complex queries on incomplete knowledge graphs is a challengin...

0 Erik Arakelyan, et al. ∙

research

∙ 12/19/2022

Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization

Selecting an effective training signal for tasks in natural language pro...

0 Dustin Wright, et al. ∙

research

∙ 10/25/2022

Revisiting Softmax for Uncertainty Approximation in Text Classification

Uncertainty approximation in text classification is an important area wi...

0 Andreas Nugaard Holm, et al. ∙

research

∙ 10/24/2022

Modeling Information Change in Science Communication with Semantically Matched Paraphrases

Whether the media faithfully communicate scientific information has long...

0 Dustin Wright, et al. ∙

research

∙ 09/15/2022

Machine Reading, Fast and Slow: When Do Models "Understand" Language?

Two of the most fundamental challenges in Natural Language Understanding...

10 Sagnik Ray Choudhury, et al. ∙

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...

0 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...

0 Karolina Stańczak, et al. ∙

research

∙ 04/05/2022

Fact Checking with Insufficient Evidence

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

0 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...

0 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...

5 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...

10 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

7 Momchil Hardalov, et al. ∙

research

∙ 09/08/2021

Diagnostics-Guided Explanation Generation

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

0 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...

15 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...

0 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...

2 Anna Rogers, et al. ∙

research

∙ 06/02/2021

Is Sparse Attention more Interpretable?

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

0 Clara Meister, et al. ∙

research

∙ 05/30/2021

Determining the Credibility of Science Communication

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

0 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...

24 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...

0 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...

15 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...

8 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...

0 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, ...

4 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 ...

21 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 ...

9 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...

20 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...

0 Johannes Bjerva, et al. ∙

research

∙ 12/10/2020

Multi-Sense Language Modelling

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

0 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...

0 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...

0 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...

8 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 ...

20 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...

0 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...

0 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...

0 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...

17 Dustin Wright, et al. ∙

Isabelle Augenstein

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