Isabelle Augenstein

Orcid: 0000-0003-1562-7909

Affiliations:
  • University of Copenhagen, Denmark
  • University of Sheffield, UK (PhD 2016)


According to our database1, Isabelle Augenstein authored at least 154 papers between 2012 and 2024.

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Bibliography

2024
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go.
ACM Comput. Surv., March, 2024

Can Transformers Learn <i>n</i>-gram Language Models?
CoRR, 2024

Claim Verification in the Age of Large Language Models: A Survey.
CoRR, 2024

From Internal Conflict to Contextual Adaptation of Language Models.
CoRR, 2024

Revealing Fine-Grained Values and Opinions in Large Language Models.
CoRR, 2024

Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language.
CoRR, 2024

A Unified Framework for Input Feature Attribution Analysis.
CoRR, 2024

SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
CoRR, 2024

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.
CoRR, 2024

Investigating Human Values in Online Communities.
CoRR, 2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can Transformers Learn n-gram Language Models?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Social Bias Probing: Fairness Benchmarking for Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Understanding Fine-grained Distortions in Reports of Scientific Findings.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Investigating the Impact of Model Instability on Explanations and Uncertainty.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Preface: Special issue on NLP approaches to offensive content online.
Nat. Lang. Eng., November, 2023

Introduction to the Special Issue on Truth and Trust Online.
ACM J. Data Inf. Qual., March, 2023

Revisiting Softmax for Uncertainty Approximation in Text Classification.
Inf., 2023

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension.
ACM Comput. Surv., 2023

A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives.
ACM Comput. Surv., 2023

Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective.
CoRR, 2023

Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide.
CoRR, 2023

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output.
CoRR, 2023

Factuality Challenges in the Era of Large Language Models.
CoRR, 2023

Measuring Gender Bias in West Slavic Language Models.
CoRR, 2023

Adapting Neural Link Predictors for Complex Query Answering.
CoRR, 2023

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Explaining Interactions Between Text Spans.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PHD: Pixel-Based Language Modeling of Historical Documents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Measuring Intersectional Biases in Historical Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multilingual Event Extraction from Historical Newspaper Adverts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Faithfulness Tests for Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Latent-Variable Model for Intrinsic Probing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Neighborhood Framework for Resource-Lean Content Flagging.
Trans. Assoc. Comput. Linguistics, 2022

Fact Checking with Insufficient Evidence.
Trans. Assoc. Comput. Linguistics, 2022

Habilitation Abstract: Towards Explainable Fact Checking.
Künstliche Intell., 2022

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing.
Inf., 2022

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
Inf. Fusion, 2022

Joint emotion label space modeling for affect lexica.
Comput. Speech Lang., 2022

Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization.
CoRR, 2022

Probing Pre-Trained Language Models for Cross-Cultural Differences in Values.
CoRR, 2022

TempEL: Linking Dynamically Evolving and Newly Emerging Entities.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Survey on Stance Detection for Mis- and Disinformation Identification.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Modeling Information Change in Science Communication with Semantically Matched Paraphrases.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Longitudinal Citation Prediction using Temporal Graph Neural Networks.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Diagnostics-Guided Explanation Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Time-aware evidence ranking for fact-checking.
J. Web Semant., 2021

A Survey on Gender Bias in Natural Language Processing.
CoRR, 2021

Quantifying Gender Biases Towards Politicians on Reddit.
CoRR, 2021

Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?
CoRR, 2021

Towards Explainable Fact Checking.
CoRR, 2021

Determining the Credibility of Science Communication.
CoRR, 2021

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models.
CoRR, 2021

A Neighbourhood Framework for Resource-Lean Content Flagging.
CoRR, 2021

Detecting Abusive Language on Online Platforms: A Critical Analysis.
CoRR, 2021

Disembodied Machine Learning: On the Illusion of Objectivity in NLP.
CoRR, 2021

Inducing Language-Agnostic Multilingual Representations.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Multi-Hop Fact Checking of Political Claims.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Cross-Domain Label-Adaptive Stance Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semi-Supervised Exaggeration Detection of Health Science Press Releases.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Does Typological Blinding Impede Cross-Lingual Sharing?
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Is Sparse Attention more Interpretable?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Multi-Sense Language Modelling.
CoRR, 2020

SIGTYP 2020 Shared Task: Prediction of Typological Features.
CoRR, 2020

Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data.
CoRR, 2020

Fact Check-Worthiness Detection as Positive Unlabelled Learning.
CoRR, 2020

Semantic Textual Similarity of Sentences with Emojis.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

University of Copenhagen Participation in TREC Health Misinformation Track 2020.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Transformer Based Multi-Source Domain Adaptation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Claim Check-Worthiness Detection as Positive Unlabelled Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What Can We Do to Improve Peer Review in NLP?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Zero-Shot Cross-Lingual Transfer with Meta Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

SubjQA: A Dataset for Subjectivity and Review Comprehension.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating Label Cohesive and Well-Formed Adversarial Claims.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Diagnostic Study of Explainability Techniques for Text Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Evaluation for Question Answering with Transformers.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Generating Fact Checking Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2kenize: Tying Subword Sequences for Chinese Script Conversion.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Back to the Future - Temporal Adaptation of Text Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Joint Emotion Label Space Modelling for Affect Lexica.
CoRR, 2019

Mapping (Dis-)Information Flow about the MH17 Plane Crash.
CoRR, 2019

Retrieval-based Goal-Oriented Dialogue Generation.
CoRR, 2019

Domain Transfer in Dialogue Systems without Turn-Level Supervision.
CoRR, 2019

Back to the Future - Sequential Alignment of Text Representations.
CoRR, 2019

What Do Language Representations Really Represent?
Comput. Linguistics, 2019

CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Issue Framing in Online Discussion Fora.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Probabilistic Generative Model of Linguistic Typology.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Uncovering Probabilistic Implications in Typological Knowledge Bases.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

Latent Multi-Task Architecture Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discourse-aware rumour stance classification in social media using sequential classifiers.
Inf. Process. Manag., 2018

KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Nightmare at test time: How punctuation prevents parsers from generalizing.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Parameter sharing between dependency parsers for related languages.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A strong baseline for question relevancy ranking.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding.
Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, October 31, 2018

Jack the Reader - A Machine Reading Framework.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

Character-level Supervision for Low-resource POS Tagging.
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, 2018

2017
An unsupervised data-driven method to discover equivalent relations in large Linked Datasets.
Semantic Web, 2017

Generalisation in named entity recognition: A quantitative analysis.
Comput. Speech Lang., 2017

Tracking Typological Traits of Uralic Languages in Distributed Language Representations.
CoRR, 2017

Sluice networks: Learning what to share between loosely related tasks.
CoRR, 2017

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task.
CoRR, 2017

Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM.
CoRR, 2017

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

A Supervised Approach to Extractive Summarisation of Scientific Papers.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Multi-Task Learning of Keyphrase Boundary Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Natural Language Processing for the Semantic Web
Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers, ISBN: 978-3-031-79474-2, 2016

Web relation extraction with distant supervision.
PhD thesis, 2016

Distantly supervised Web relation extraction for knowledge base population.
Semantic Web, 2016

USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Monolingual Social Media Datasets for Detecting Contradiction and Entailment.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Numerically Grounded Language Models for Semantic Error Correction.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Stance Detection with Bidirectional Conditional Encoding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

emoji2vec: Learning Emoji Representations from their Description.
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

USFD: Twitter NER with Drift Compensation and Linked Data.
Proceedings of the Workshop on Noisy User-generated Text, 2015

2014
"Linked data as background knowledge for information extraction on the web" by Ziqi Zhang, Anna Lisa Gentile and Isabelle Augenstein with Martin Vesely as coordinator.
SIGWEB Newsl., 2014

Joint Information Extraction from the Web Using Linked Data.
Proceedings of the Semantic Web - ISWC 2014, 2014

Relation Extraction from the Web Using Distant Supervision.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

Seed Selection for Distantly Supervised Web-Based Relation Extraction.
Proceedings of the Third Workshop on Semantic Web and Information Extraction, 2014

2013
Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets.
Proceedings of the Semantic Web - ISWC 2013, 2013

Statistical Knowledge Patterns for Characterising Linked Data.
Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns co-located with 12th International Semantic Web Conference (ISWC 2013), 2013

Unsupervised wrapper induction using linked data.
Proceedings of the 7th International Conference on Knowledge Capture, 2013

Mapping Keywords to Linked Data Resources for Automatic Query Expansion.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

Mining Equivalent Relations from Linked Data.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
LODifier: Generating Linked Data from Unstructured Text.
Proceedings of the Semantic Web: Research and Applications, 2012


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