Isabelle Augenstein

Related

• Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence
• Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization
• Multi-Modal Framing Analysis of News
• A Meta-Evaluation of Style and Attribute Transfer Metrics
• Can Community Notes Replace Professional Fact-Checkers?
• Presumed Cultural Identity: How Names Shape LLM Responses
• Unstructured Evidence Attribution for Long Context Query Focused Summarization
• Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
• A Unified Framework for Input Feature Attribution Analysis
• Investigating Human Values in Online Communities
• Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
• Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations
• With Great Backbones Comes Great Adversarial Transferability
• SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
• Survey of Cultural Awareness in Language Models: Text and Beyond
• FLARE: Faithful Logic-Aided Reasoning and Exploration
• Can Transformers Learn n-gram Language Models?
• DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
• Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-Checkers
• Revealing Fine-Grained Values and Opinions in Large Language Models
• Social Bias Probing: Fairness Benchmarking for Language Models
• Claim Verification in the Age of Large Language Models: A Survey
• Factuality Challenges in the Era of Large Language Models
• Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective
• Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
• What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
• Investigating the Impact of Model Instability on Explanations and Uncertainty
• Understanding Fine-grained Distortions in Reports of Scientific Findings
• The LEADING Guideline Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) Studies
• Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
• Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide
• Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
• People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
• PHD: Pixel-Based Language Modeling of Historical Documents
• Explaining Interactions Between Text Spans
• Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
• Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
• Adapting Neural Link Predictors for Complex Query Answering
• Revisiting Softmax for Uncertainty Approximation in Text Classification
• Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go
• Faithfulness Tests for Natural Language Explanations
• Measuring Intersectional Biases in Historical Documents
• Multilingual Event Extraction from Historical Newspaper Adverts
• Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
• Measuring Gender Bias in West Slavic Language Models
• Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
• A Latent-Variable Model for Intrinsic Probing
• Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
• Modeling Information Change in Science Communication with Semantically Matched Paraphrases
• Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
• TempEL: Linking Dynamically Evolving and Newly Emerging Entities
• Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?
• Machine Reading, Fast and Slow: When Do Models 'Understand' Language?
• QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
• A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
• Habilitation Abstract: Towards Explainable Fact Checking
• Quantifying Gender Biases Towards Politicians on Reddit
• A Survey on Stance Detection for Mis- and Disinformation Identification
• Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
• Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
• Fact Checking with Insufficient Evidence
• Generating Scientific Claims for Zero-Shot Scientific Fact Checking
• Multi-Sense Language Modelling
• Multi3Generation: Multi-task, Multilingual, Multi-Modal Language Generation
• A Neighbourhood Framework for Resource-Lean Content Flagging
• A Survey on Gender Bias in Natural Language Processing
• Diagnostics-Guided Explanation Generation
• Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
• Contrastive Text Pretraining for Zero to Few-Shot Long-Tail Learning
• Longitudinal Citation Prediction using Temporal Graph Neural Networks
• Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
• Time-Aware Evidence Ranking for Fact-Checking
• Cross-Domain Label-Adaptive Stance Detection
• How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
• Semi-Supervised Exaggeration Detection of Health Science Press Releases
• Joint Emotion Label Space Modelling for Affect Lexica
• Determining the Credibility of Science Communication
• Inducing Language-Agnostic Multilingual Representations
• CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
• Is Sparse Attention more Interpretable?
• Multi-Hop Fact Checking of Political Claims
• White Paper - Creating a Repository of Objectionable Online Content: Addressing Undesirable Biases and Ethical Considerations
• Does Typological Blinding Impede Cross-Lingual Sharing?
• Towards Explainable Fact Checking
• University of Copenhagen Participation in TREC Health Misinformation Track 2020
• A Diagnostic Study of Explainability Techniques for Text Classification
• Generating Label Cohesive and Well-Formed Adversarial Claims
• SubjQA: A Dataset for Subjectivity and Review Comprehension
• Transformer Based Multi-Source Domain Adaptation
• Zero-Shot Cross-Lingual Transfer with Meta Learning
• Claim Check-Worthiness Detection as Positive Unlabelled Learning
• What Can We Do to Improve Peer Review in NLP?
• SIGTYP 2020 Shared Task: Prediction of Typological Features
• Unsupervised Evaluation for Question Answering with Transformers
• Disembodied Machine Learning: On the Illusion of Objectivity in NLP
• TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
• Generating Fact Checking Explanations
• 2kenize: Tying Subword Sequences for Chinese Script Conversion
• Semantic Textual Similarity of Sentences with Emojis
• Back to the Future -- Sequential Alignment of Text Representations
• MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
• Mapping (Dis-)Information Flow about the MH17 Plane Crash
• Domain Transfer in Dialogue Systems without Turn-Level Supervision
• Retrieval-Based Goal-Oriented Dialogue Generation
• X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
• Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
• Uncovering Probabilistic Implications in Typological Knowledge Bases
• Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
• Proceedings of The Fourth Workshop on Representation Learning for NLP
• A Probabilistic Generative Model of Linguistic Typology
• Combining Sentiment Lexica with a Multi-View Variational Autoencoder
• Issue Framing in Online Discussion Fora
• What do Language Representations Really Represent?
• Latent multi-task architecture learning
• A strong baseline for question relevancy ranking
• Parameter sharing between dependency parsers for related languages
• Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding
• Nightmare at test time: How punctuation prevents parsers from generalizing
• Jack the Reader – A Machine Reading Framework
• Character-level Supervision for Low-resource POS Tagging
• Proceedings of The Third Workshop on Representation Learning for NLP
• From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
• Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
• KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets
• Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
• Tracking Typological Traits of Uralic Languages in Distributed Language Representations
• A Supervised Approach to Extractive Summarisation of Scientific Papers
• A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
• Generalisation in Named Entity Recognition: A Quantitative Analysis
• Multi-Task Learning of Keyphrase Boundary Classification
• SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
• Sequential Approach to Rumour Stance Classification
• Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
• An Unsupervised Data-driven Method to Discover Equivalent Relations in Large Linked Datasets