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06/01/2023
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Stance Detection is concerned with identifying the attitudes expressed b...
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05/29/2023
Faithfulness Tests for Natural Language Explanations
Explanations of neural models aim to reveal a model's decision-making pr...
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05/21/2023
Measuring Intersectional Biases in Historical Documents
Data-driven analyses of biases in historical texts can help illuminate t...
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05/18/2023
Multilingual Event Extraction from Historical Newspaper Adverts
NLP methods can aid historians in analyzing textual materials in greater...
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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...
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04/12/2023
Measuring Gender Bias in West Slavic Language Models
Pre-trained language models have been known to perpetuate biases from th...
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02/05/2023
TempEL: Linking Dynamically Evolving and Newly Emerging Entities
In our continuously evolving world, entities change over time and new, p...
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01/29/2023
Adapting Neural Link Predictors for Complex Query Answering
Answering complex queries on incomplete knowledge graphs is a challengin...
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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...
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10/25/2022
Revisiting Softmax for Uncertainty Approximation in Text Classification
Uncertainty approximation in text classification is an important area wi...
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10/24/2022
Modeling Information Change in Science Communication with Semantically Matched Paraphrases
Whether the media faithfully communicate scientific information has long...
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09/15/2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Two of the most fundamental challenges in Natural Language Understanding...
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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...
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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...
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04/05/2022
Fact Checking with Insufficient Evidence
Automating the fact checking (FC) process relies on information obtained...
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03/25/2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Language embeds information about social, cultural, and political values...
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03/24/2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Automated scientific fact checking is difficult due to the complexity of...
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02/14/2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Learning scientific document representations can be substantially improv...
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01/20/2022
A Latent-Variable Model for Intrinsic Probing
The success of pre-trained contextualized representations has prompted r...
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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...
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12/22/2021
Quantifying Gender Biases Towards Politicians on Reddit
Despite attempts to increase gender parity in politics, global efforts h...
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12/13/2021
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
Fact-checking systems have become important tools to verify fake and mis...
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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...
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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...
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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 ...
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09/08/2021
Diagnostics-Guided Explanation Generation
Explanations shed light on a machine learning model's rationales and can...
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08/30/2021
Semi-Supervised Exaggeration Detection of Health Science Press Releases
Public trust in science depends on honest and factual communication of s...
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08/23/2021
Towards Explainable Fact Checking
The past decade has seen a substantial rise in the amount of mis- and di...
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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...
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06/02/2021
Is Sparse Attention more Interpretable?
Sparse attention has been claimed to increase model interpretability und...
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05/30/2021
Determining the Credibility of Science Communication
Most work on scholarly document processing assumes that the information ...
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05/23/2021
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
Scientific document understanding is challenging as the data is highly d...
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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...
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04/15/2021
Cross-Domain Label-Adaptive Stance Detection
Stance detection concerns the classification of a writer's viewpoint tow...
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03/31/2021
A Neighbourhood Framework for Resource-Lean Content Flagging
We propose a novel interpretable framework for cross-lingual content fla...
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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...
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02/27/2021
A Survey on Stance Detection for Mis- and Disinformation Identification
Detecting attitudes expressed in texts, also known as stance detection, ...
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02/27/2021
Detecting Abusive Language on Online Platforms: A Critical Analysis
Abusive language on online platforms is a major societal problem, often ...
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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 ...
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01/28/2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Machine Learning seeks to identify and encode bodies of knowledge within...
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01/28/2021
Does Typological Blinding Impede Cross-Lingual Sharing?
Bridging the performance gap between high- and low-resource languages ha...
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12/10/2020
Multi-Sense Language Modelling
The effectiveness of a language model is influenced by its token represe...
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12/10/2020
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Citation count prediction is the task of predicting the number of citati...
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10/16/2020
SIGTYP 2020 Shared Task: Prediction of Typological Features
Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 20...
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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...
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10/07/2020
Unsupervised Evaluation for Question Answering with Transformers
It is challenging to automatically evaluate the answer of a QA model at ...
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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...
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09/25/2020
A Diagnostic Study of Explainability Techniques for Text Classification
Recent developments in machine learning have introduced models that appr...
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09/17/2020
Generating Label Cohesive and Well-Formed Adversarial Claims
Adversarial attacks reveal important vulnerabilities and flaws of traine...
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09/16/2020
