LODifier: Generating Linked Data from Unstructured Text. - Isabelle Augenstein; Sebastian Padó; Sebastian Rudolph (ESWC, 2012)

Mining Equivalent Relations from Linked Data. - Ziqi Zhang 001; Anna Lisa Gentile; Isabelle Augenstein; Eva Blomqvist; Fabio Ciravegna (ACL (2), 2013)

Mapping Keywords to Linked Data Resources for Automatic Query Expansion. - Isabelle Augenstein; Anna Lisa Gentile; Barry Norton; Ziqi Zhang 001; Fabio Ciravegna (ESWC (Satellite Events), 2013)

Unsupervised wrapper induction using linked data. - Anna Lisa Gentile; Ziqi Zhang 001; Isabelle Augenstein; Fabio Ciravegna (K-CAP, 2013)

Statistical Knowledge Patterns for Characterising Linked Data. - Eva Blomqvist; Ziqi Zhang 001; Anna Lisa Gentile; Isabelle Augenstein; Fabio Ciravegna (WOP, 2013)

Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets. - Ziqi Zhang 001; Anna Lisa Gentile; Eva Blomqvist; Isabelle Augenstein; Fabio Ciravegna (ISWC (1), 2013)

Seed Selection for Distantly Supervised Web-Based Relation Extraction. - Isabelle Augenstein (SWAIE@COLING, 2014)

Relation Extraction from the Web Using Distant Supervision. - Isabelle Augenstein; Diana Maynard; Fabio Ciravegna (EKAW, 2014)

Joint Information Extraction from the Web Using Linked Data. - Isabelle Augenstein (ISWC (2), 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. - Ziqi Zhang 001; Anna Lisa Gentile; Isabelle Augenstein (SIGWEB Newsl., 2014)

USFD: Twitter NER with Drift Compensation and Linked Data. - Leon Derczynski; Isabelle Augenstein; Kalina Bontcheva (NUT@IJCNLP, 2015)

Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning. - Isabelle Augenstein; Andreas Vlachos 001; Diana Maynard (EMNLP, 2015)

emoji2vec: Learning Emoji Representations from their Description. - Ben Eisner; Tim Rocktäschel; Isabelle Augenstein; Matko Bosnjak; Sebastian Riedel 001 (SocialNLP@EMNLP, 2016)

Stance Detection with Bidirectional Conditional Encoding. - Isabelle Augenstein; Tim Rocktäschel; Andreas Vlachos 001; Kalina Bontcheva (EMNLP, 2016)

Numerically Grounded Language Models for Semantic Error Correction. - Georgios P. Spithourakis; Isabelle Augenstein; Sebastian Riedel 001 (EMNLP, 2016)

Monolingual Social Media Datasets for Detecting Contradiction and Entailment. - Piroska Lendvai; Isabelle Augenstein; Kalina Bontcheva; Thierry Declerck (LREC, 2016)

USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders. - Isabelle Augenstein; Andreas Vlachos 001; Kalina Bontcheva (SemEval@NAACL-HLT, 2016)

Distantly supervised Web relation extraction for knowledge base population. - Isabelle Augenstein; Diana Maynard; Fabio Ciravegna (Semantic Web, 2016)

Web relation extraction with distant supervision. - Isabelle Augenstein (2016)

Natural Language Processing for the Semantic Web - Diana Maynard; Kalina Bontcheva; Isabelle Augenstein (Morgan & Claypool Publishers, 2016)

Multi-Task Learning of Keyphrase Boundary Classification. - Isabelle Augenstein; Anders Søgaard (ACL (2), 2017)

A Supervised Approach to Extractive Summarisation of Scientific Papers. - Ed Collins; Isabelle Augenstein; Sebastian Riedel 001 (CoNLL, 2017)

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications. - Isabelle Augenstein; Mrinal Das; Sebastian Riedel 001; Lakshmi Vikraman; Andrew McCallum (SemEval@ACL, 2017)

Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM. - Elena Kochkina; Maria Liakata; Isabelle Augenstein (CoRR, 2017)

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task. - Benjamin Riedel 001; Isabelle Augenstein; Georgios P. Spithourakis; Sebastian Riedel 001 (CoRR, 2017)

Sluice networks: Learning what to share between loosely related tasks. - Sebastian Ruder; Joachim Bingel; Isabelle Augenstein; Anders Søgaard (CoRR, 2017)

Tracking Typological Traits of Uralic Languages in Distributed Language Representations. - Johannes Bjerva; Isabelle Augenstein (CoRR, 2017)

Generalisation in named entity recognition: A quantitative analysis. - Isabelle Augenstein; Leon Derczynski; Kalina Bontcheva (Comput. Speech Lang., 2017)

An unsupervised data-driven method to discover equivalent relations in large Linked Datasets. - Ziqi Zhang 001; Anna Lisa Gentile; Eva Blomqvist; Isabelle Augenstein; Fabio Ciravegna (Semantic Web, 2017)

Character-level Supervision for Low-resource POS Tagging. - Katharina Kann; Johannes Bjerva; Isabelle Augenstein; Barbara Plank; Anders Søgaard (DeepLo@ACL, 2018)

Jack the Reader - A Machine Reading Framework. - Dirk Weissenborn; Pasquale Minervini; Isabelle Augenstein; Johannes Welbl; Tim Rocktäschel; Matko Bosnjak; Jeff Mitchell 001; Thomas Demeester; Tim Dettmers; Pontus Stenetorp; Sebastian Riedel 001 (ACL (4), 2018)

Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. - Yova Kementchedjhieva; Johannes Bjerva; Isabelle Augenstein (CoNLL Shared Task (1), 2018)

A strong baseline for question relevancy ranking. - Ana Valeria González-Garduño; Isabelle Augenstein; Anders Søgaard (EMNLP, 2018)

Parameter sharing between dependency parsers for related languages. - Miryam de Lhoneux; Johannes Bjerva; Isabelle Augenstein; Anders Søgaard (EMNLP, 2018)

Nightmare at test time: How punctuation prevents parsers from generalizing. - Anders Søgaard; Miryam de Lhoneux; Isabelle Augenstein (BlackboxNLP@EMNLP, 2018)

Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces. - Isabelle Augenstein; Sebastian Ruder; Anders Søgaard (NAACL-HLT, 2018)

From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. - Johannes Bjerva; Isabelle Augenstein (NAACL-HLT, 2018)

KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets. - Thomas Nyegaard-Signori; Casper Veistrup Helms; Johannes Bjerva; Isabelle Augenstein (SemEval@NAACL-HLT, 2018)

Discourse-aware rumour stance classification in social media using sequential classifiers. - Arkaitz Zubiaga; Elena Kochkina; Maria Liakata; Rob Procter; Michal Lukasik; Kalina Bontcheva; Trevor Cohn; Isabelle Augenstein (Inf. Process. Manag., 2018)

Latent Multi-Task Architecture Learning. - Sebastian Ruder; Joachim Bingel; Isabelle Augenstein; Anders Søgaard (AAAI, 2019)

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. - Mostafa Abdou; Cezar Sas; Rahul Aralikatte; Isabelle Augenstein; Anders Søgaard (DeepLo@EMNLP-IJCNLP, 2019)

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. - Johannes Bjerva; Katharina Kann; Isabelle Augenstein (DeepLo@EMNLP-IJCNLP, 2019)

Uncovering Probabilistic Implications in Typological Knowledge Bases. - Johannes Bjerva; Yova Kementchedjhieva; Ryan Cotterell; Isabelle Augenstein (ACL (1), 2019)

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. - Alexander Miserlis Hoyle; Lawrence Wolf-Sonkin; Hanna M. Wallach; Isabelle Augenstein; Ryan Cotterell (ACL (1), 2019)

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. - Isabelle Augenstein; Christina Lioma; Dongsheng Wang 005; Lucas Chaves Lima; Casper Hansen; Christian Hansen 004; Jakob Grue Simonsen (EMNLP/IJCNLP (1), 2019)

A Probabilistic Generative Model of Linguistic Typology. - Johannes Bjerva; Yova Kementchedjhieva; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT (1), 2019)

Issue Framing in Online Discussion Fora. - Mareike Hartmann; Tallulah Jansen; Isabelle Augenstein; Anders Søgaard (NAACL-HLT (1), 2019)

Combining Sentiment Lexica with a Multi-View Variational Autoencoder. - Alexander Miserlis Hoyle; Lawrence Wolf-Sonkin; Hanna M. Wallach; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT (1), 2019)

CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs. - Ana Valeria González-Garduño; Victor Petrén Bach Hansen; Joachim Bingel; Isabelle Augenstein; Anders Søgaard (SemEval@NAACL-HLT, 2019)

What Do Language Representations Really Represent? - Johannes Bjerva; Robert Östling; Maria Han Veiga; Jörg Tiedemann; Isabelle Augenstein (Comput. Linguistics, 2019)

Back to the Future - Sequential Alignment of Text Representations. - Johannes Bjerva; Wouter M. Kouw; Isabelle Augenstein (CoRR, 2019)

Domain Transfer in Dialogue Systems without Turn-Level Supervision. - Joachim Bingel; Victor Petrén Bach Hansen; Ana Valeria González-Garduño; Pawel Budzianowski; Isabelle Augenstein; Anders Søgaard (CoRR, 2019)

Retrieval-based Goal-Oriented Dialogue Generation. - Ana Valeria González-Garduño; Isabelle Augenstein; Anders Søgaard (CoRR, 2019)

Mapping (Dis-)Information Flow about the MH17 Plane Crash. - Mareike Hartmann; Yevgeniy Golovchenko; Isabelle Augenstein (CoRR, 2019)

Joint Emotion Label Space Modelling for Affect Lexica. - Luna De Bruyne; Pepa Atanasova; Isabelle Augenstein (CoRR, 2019)

Back to the Future - Temporal Adaptation of Text Representations. - Johannes Bjerva; Wouter M. Kouw; Isabelle Augenstein (AAAI, 2020)

2kenize: Tying Subword Sequences for Chinese Script Conversion. - Pranav A; Isabelle Augenstein (ACL, 2020)

Generating Fact Checking Explanations. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (ACL, 2020)

Unsupervised Evaluation for Question Answering with Transformers. - Lukas Muttenthaler; Isabelle Augenstein; Johannes Bjerva (BlackboxNLP@EMNLP, 2020)

A Diagnostic Study of Explainability Techniques for Text Classification. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (EMNLP (1), 2020)

Generating Label Cohesive and Well-Formed Adversarial Claims. - Pepa Atanasova; Dustin Wright 001; Isabelle Augenstein (EMNLP (1), 2020)

SubjQA: A Dataset for Subjectivity and Review Comprehension. - Johannes Bjerva; Nikita Bhutani; Behzad Golshan; Wang-Chiew Tan; Isabelle Augenstein (EMNLP (1), 2020)

Zero-Shot Cross-Lingual Transfer with Meta Learning. - Farhad Nooralahzadeh; Giannis Bekoulis; Johannes Bjerva; Isabelle Augenstein (EMNLP (1), 2020)

What Can We Do to Improve Peer Review in NLP? - Anna Rogers; Isabelle Augenstein (EMNLP (Findings), 2020)

Claim Check-Worthiness Detection as Positive Unlabelled Learning. - Dustin Wright 001; Isabelle Augenstein (EMNLP (Findings), 2020)

Transformer Based Multi-Source Domain Adaptation. - Dustin Wright 001; Isabelle Augenstein (EMNLP (1), 2020)

University of Copenhagen Participation in TREC Health Misinformation Track 2020. - Lucas Chaves Lima; Dustin Brandon Wright; Isabelle Augenstein; Maria Maistro (TREC, 2020)

TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. - Nils Rethmeier; Vageesh Kumar Saxena; Isabelle Augenstein (UAI, 2020)

Semantic Textual Similarity of Sentences with Emojis. - Alok Debnath; Nikhil Pinnaparaju; Manish Shrivastava 001; Vasudeva Varma; Isabelle Augenstein (WWW (Companion Volume), 2020)

Fact Check-Worthiness Detection as Positive Unlabelled Learning. - Dustin Wright 001; Isabelle Augenstein (CoRR, 2020)

Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data. - Nils Rethmeier; Isabelle Augenstein (CoRR, 2020)

SIGTYP 2020 Shared Task: Prediction of Typological Features. - Johannes Bjerva; Elizabeth Salesky; Sabrina J. Mielke; Aditi Chaudhary; Giuseppe G. A. Celano; Edoardo Maria Ponti; Ekaterina Vylomova; Ryan Cotterell; Isabelle Augenstein (CoRR, 2020)

Multi-Sense Language Modelling. - Andrea Lekkas; Peter Schneider-Kamp; Isabelle Augenstein (CoRR, 2020)

Is Sparse Attention more Interpretable? - Clara Meister; Stefan Lazov; Isabelle Augenstein; Ryan Cotterell (ACL/IJCNLP (2), 2021)

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. - Dustin Wright 001; Isabelle Augenstein (ACL/IJCNLP (Findings), 2021)

Does Typological Blinding Impede Cross-Lingual Sharing? - Johannes Bjerva; Isabelle Augenstein (EACL, 2021)

Semi-Supervised Exaggeration Detection of Health Science Press Releases. - Dustin Wright 001; Isabelle Augenstein (EMNLP (1), 2021)

Cross-Domain Label-Adaptive Stance Detection. - Momchil Hardalov; Arnav Arora; Preslav Nakov; Isabelle Augenstein (EMNLP (1), 2021)

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? - Indira Sen; Mattia Samory; Fabian Flöck; Claudia Wagner 001; Isabelle Augenstein (EMNLP (1), 2021)

Multi-Hop Fact Checking of Political Claims. - Wojciech Ostrowski; Arnav Arora; Pepa Atanasova; Isabelle Augenstein (IJCAI, 2021)

Inducing Language-Agnostic Multilingual Representations. - Wei Zhao 033; Steffen Eger; Johannes Bjerva; Isabelle Augenstein (*SEM, 2021)

Disembodied Machine Learning: On the Illusion of Objectivity in NLP. - Zeerak Waseem; Smarika Lulz; Joachim Bingel; Isabelle Augenstein (CoRR, 2021)

Detecting Abusive Language on Online Platforms: A Critical Analysis. - Preslav Nakov; Vibha Nayak; Kyle Dent; Ameya Bhatawdekar; Sheikh Muhammad Sarwar; Momchil Hardalov; Yoan Dinkov; Dimitrina Zlatkova; Guillaume Bouchard; Isabelle Augenstein (CoRR, 2021)

A Neighbourhood Framework for Resource-Lean Content Flagging. - Sheikh Muhammad Sarwar; Dimitrina Zlatkova; Momchil Hardalov; Yoan Dinkov; Isabelle Augenstein; Preslav Nakov (CoRR, 2021)

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. - Karolina Stanczak; Sagnik Ray Choudhury; Tiago Pimentel; Ryan Cotterell; Isabelle Augenstein (CoRR, 2021)

Determining the Credibility of Science Communication. - Isabelle Augenstein (CoRR, 2021)

Towards Explainable Fact Checking. - Isabelle Augenstein (CoRR, 2021)

Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? - Sagnik Ray Choudhury; Nikita Bhutani; Isabelle Augenstein (CoRR, 2021)

Quantifying Gender Biases Towards Politicians on Reddit. - Sara Marjanovic; Karolina Stanczak; Isabelle Augenstein (CoRR, 2021)

A Survey on Gender Bias in Natural Language Processing. - Karolina Stanczak; Isabelle Augenstein (CoRR, 2021)

Time-aware evidence ranking for fact-checking. - Liesbeth Allein; Isabelle Augenstein; Marie-Francine Moens (J. Web Semant., 2021)

Diagnostics-Guided Explanation Generation. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (AAAI, 2022)

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. - Momchil Hardalov; Arnav Arora; Preslav Nakov; Isabelle Augenstein (AAAI, 2022)

Longitudinal Citation Prediction using Temporal Graph Neural Networks. - Andreas Nugaard Holm; Barbara Plank; Dustin Wright 001; Isabelle Augenstein (SDU@AAAI, 2022)

Generating Scientific Claims for Zero-Shot Scientific Fact Checking. - Dustin Wright 001; David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Isabelle Augenstein; Lucy Lu Wang (ACL (1), 2022)

Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? - Sagnik Ray Choudhury; Nikita Bhutani; Isabelle Augenstein (COLING, 2022)

Machine Reading, Fast and Slow: When Do Models "Understand" Language? - Sagnik Ray Choudhury; Anna Rogers; Isabelle Augenstein (COLING, 2022)

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. - Anabela Barreiro; José G. C. de Souza; Albert Gatt; Mehul Bhatt; Elena Lloret; Aykut Erdem; Dimitra Gkatzia; Helena Moniz; Irene Russo; Fábio N. Kepler; Iacer Calixto; Marcin Paprzycki; et al. (EAMT, 2022)

Modeling Information Change in Science Communication with Semantically Matched Paraphrases. - Dustin Wright 001; Jiaxin Pei; David Jurgens; Isabelle Augenstein (EMNLP, 2022)

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. - Malte Ostendorff; Nils Rethmeier; Isabelle Augenstein; Bela Gipp; Georg Rehm (EMNLP, 2022)

A Survey on Stance Detection for Mis- and Disinformation Identification. - Momchil Hardalov; Arnav Arora; Preslav Nakov; Isabelle Augenstein (NAACL-HLT (Findings), 2022)

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. - Indira Sen; Mattia Samory; Claudia Wagner 001; Isabelle Augenstein (NAACL-HLT, 2022)

Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. - Karolina Stanczak; Edoardo M. Ponti; Lucas Torroba Hennigen; Ryan Cotterell; Isabelle Augenstein (NAACL-HLT, 2022)

TempEL: Linking Dynamically Evolving and Newly Emerging Entities. - Klim Zaporojets; Lucie-Aimée Kaffee; Johannes Deleu; Thomas Demeester; Chris Develder; Isabelle Augenstein (NeurIPS, 2022)

Probing Pre-Trained Language Models for Cross-Cultural Differences in Values. - Arnav Arora; Lucie-Aimée Kaffee; Isabelle Augenstein (CoRR, 2022)

Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. - Dustin Wright 001; Isabelle Augenstein (CoRR, 2022)

Joint emotion label space modeling for affect lexica. - Luna De Bruyne; Pepa Atanasova; Isabelle Augenstein (Comput. Speech Lang., 2022)

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. - Andreas Holzinger; Matthias Dehmer; Frank Emmert-Streib; Rita Cucchiara; Isabelle Augenstein; Javier Del Ser; Wojciech Samek; Igor Jurisica; Natalia Díaz Rodríguez (Inf. Fusion, 2022)

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. - Shailza Jolly; Pepa Atanasova; Isabelle Augenstein (Inf., 2022)

Habilitation Abstract: Towards Explainable Fact Checking. - Isabelle Augenstein (Künstliche Intell., 2022)

Fact Checking with Insufficient Evidence. - Pepa Atanasova; Jakob Grue Simonsen; Christina Lioma; Isabelle Augenstein (Trans. Assoc. Comput. Linguistics, 2022)

A Neighborhood Framework for Resource-Lean Content Flagging. - Sheikh Muhammad Sarwar; Dimitrina Zlatkova; Momchil Hardalov; Yoan Dinkov; Isabelle Augenstein; Preslav Nakov (Trans. Assoc. Comput. Linguistics, 2022)

A Latent-Variable Model for Intrinsic Probing. - Karolina Stanczak; Lucas Torroba Hennigen; Adina Williams; Ryan Cotterell; Isabelle Augenstein (AAAI, 2023)

Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. - Erik Arakelyan; Arnav Arora; Isabelle Augenstein (ACL (1), 2023)

Faithfulness Tests for Natural Language Explanations. - Pepa Atanasova; Oana-Maria Camburu; Christina Lioma; Thomas Lukasiewicz; Jakob Grue Simonsen; Isabelle Augenstein (ACL (2), 2023)

Multilingual Event Extraction from Historical Newspaper Adverts. - Nadav Borenstein; Natalia da Silva Perez; Isabelle Augenstein (ACL (1), 2023)

Measuring Intersectional Biases in Historical Documents. - Nadav Borenstein; Karolina Stanczak; Thea Rolskov; Natacha Klein Käfer; Natalia da Silva Perez; Isabelle Augenstein (ACL (Findings), 2023)

PHD: Pixel-Based Language Modeling of Historical Documents. - Nadav Borenstein; Phillip Rust; Desmond Elliott; Isabelle Augenstein (EMNLP, 2023)

Explaining Interactions Between Text Spans. - Sagnik Ray Choudhury; Pepa Atanasova; Isabelle Augenstein (EMNLP, 2023)

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. - Lucie-Aimée Kaffee; Arnav Arora; Isabelle Augenstein (EMNLP, 2023)

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. - Lucie-Aimée Kaffee; Arnav Arora; Zeerak Talat; Isabelle Augenstein (EMNLP (Findings), 2023)

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. - Indira Sen; Dennis Assenmacher; Mattia Samory; Isabelle Augenstein; Wil M. P. van der Aalst; Claudia Wagner 001 (EMNLP, 2023)

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. - Erik Arakelyan; Pasquale Minervini; Daniel Daza; Michael Cochez; Isabelle Augenstein (NeurIPS, 2023)

Adapting Neural Link Predictors for Complex Query Answering. - Erik Arakelyan; Pasquale Minervini; Isabelle Augenstein (CoRR, 2023)

Measuring Gender Bias in West Slavic Language Models. - Sandra Martinková; Karolina Stanczak; Isabelle Augenstein (CoRR, 2023)

Factuality Challenges in the Era of Large Language Models. - Isabelle Augenstein; Timothy Baldwin; Meeyoung Cha; Tanmoy Chakraborty 002; Giovanni Luca Ciampaglia; David P. A. Corney; Renee DiResta; Emilio Ferrara; Scott Hale; Alon Y. Halevy; Eduard H. Hovy; Heng Ji 001; et al. (CoRR, 2023)

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (CoRR, 2023)

Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide. - Yevgeniy Golovchenko; Karolina Stanczak; Rebecca Adler-Nissen; Patrice Wangen; Isabelle Augenstein (CoRR, 2023)

Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective. - Karolina Stanczak; Kevin Du; Adina Williams; Isabelle Augenstein; Ryan Cotterell (CoRR, 2023)

A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives. - Nils Rethmeier; Isabelle Augenstein (ACM Comput. Surv., 2023)

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. - Anna Rogers; Matt Gardner 001; Isabelle Augenstein (ACM Comput. Surv., 2023)

Revisiting Softmax for Uncertainty Approximation in Text Classification. - Andreas Nugaard Holm; Dustin Wright 001; Isabelle Augenstein (Inf., 2023)

Introduction to the Special Issue on Truth and Trust Online. - Dustin Wright 001; Paolo Papotti; Isabelle Augenstein (ACM J. Data Inf. Qual., 2023)

Preface: Special issue on NLP approaches to offensive content online. - Marcos Zampieri; Isabelle Augenstein; Siddharth Krishnan; Joshua Melton; Preslav Nakov (Nat. Lang. Eng., 2023)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (ACL (1), 2024)

Investigating the Impact of Model Instability on Explanations and Uncertainty. - Sara Marjanovic; Isabelle Augenstein; Christina Lioma (ACL (Findings), 2024)

Understanding Fine-grained Distortions in Reports of Scientific Findings. - Amelie Wührl; Dustin Wright 001; Roman Klinger; Isabelle Augenstein (ACL (Findings), 2024)

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. - Haeun Yu; Pepa Atanasova; Isabelle Augenstein (ACL (1), 2024)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. - Erik Arakelyan; Zhaoqi Liu; Isabelle Augenstein (EACL (1), 2024)

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models. - Dustin Wright 001; Arnav Arora; Nadav Borenstein; Srishti Yadav; Serge J. Belongie; Isabelle Augenstein (EMNLP (Findings), 2024)

Social Bias Probing: Fairness Benchmarking for Language Models. - Marta Marchiori Manerba; Karolina Stanczak; Riccardo Guidotti; Isabelle Augenstein (EMNLP, 2024)

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. - Sara Marjanovic; Haeun Yu; Pepa Atanasova; Maria Maistro; Christina Lioma; Isabelle Augenstein (EMNLP (Findings), 2024)

Can Transformers Learn n-gram Language Models? - Anej Svete; Nadav Borenstein; Mike Zhou; Isabelle Augenstein; Ryan Cotterell (EMNLP, 2024)

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (EMNLP (Findings), 2024)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. - Nadav Borenstein; Anej Svete; Robin Shing Moon Chan; Josef Valvoda; Franz Nowak; Isabelle Augenstein; Eleanor Chodroff; Ryan Cotterell (CoRR, 2024)

A Unified Framework for Input Feature Attribution Analysis. - Jingyi Sun; Pepa Atanasova; Isabelle Augenstein (CoRR, 2024)

Revealing Fine-Grained Values and Opinions in Large Language Models. - Dustin Wright 001; Arnav Arora; Nadav Borenstein; Srishti Yadav; Serge J. Belongie; Isabelle Augenstein (CoRR, 2024)

From Internal Conflict to Contextual Adaptation of Language Models. - Sara Vera Marjanovic; Haeun Yu; Pepa Atanasova; Maria Maistro; Christina Lioma; Isabelle Augenstein (CoRR, 2024)

Claim Verification in the Age of Large Language Models: A Survey. - Alphaeus Dmonte; Roland Oruche; Marcos Zampieri; Prasad Calyam; Isabelle Augenstein (CoRR, 2024)

Can Transformers Learn n-gram Language Models? - Anej Svete; Nadav Borenstein; Mike Zhou; Isabelle Augenstein; Ryan Cotterell (CoRR, 2024)

FLARE: Faithful Logic-Aided Reasoning and Exploration. - Erik Arakelyan; Pasquale Minervini; Pat Verga; Patrick S. H. Lewis; Isabelle Augenstein (CoRR, 2024)

Survey of Cultural Awareness in Language Models: Text and Beyond. - Siddhesh Pawar; Junyeong Park; Jiho Jin; Arnav Arora; Junho Myung; Srishti Yadav; Faiz Ghifari Haznitrama; Inhwa Song; Alice Oh; Isabelle Augenstein (CoRR, 2024)

Graph-Guided Textual Explanation Generation Framework. - Shuzhou Yuan; Jingyi Sun; Ran Zhang; Michael Färber 001; Steffen Eger; Pepa Atanasova; Isabelle Augenstein (CoRR, 2024)

Factuality challenges in the era of large language models and opportunities for fact-checking. - Isabelle Augenstein; Timothy Baldwin; Meeyoung Cha; Tanmoy Chakraborty 002; Giovanni Luca Ciampaglia; David P. A. Corney; Renee DiResta; Emilio Ferrara; Scott Hale; Alon Y. Halevy; Eduard H. Hovy; Heng Ji 001; et al. (Nat. Mac. Intell., 2024)

Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go. - Arnav Arora; Preslav Nakov; Momchil Hardalov; Sheikh Muhammad Sarwar; Vibha Nayak; Yoan Dinkov; Dimitrina Zlatkova; Kyle Dent; Ameya Bhatawdekar; Guillaume Bouchard; Isabelle Augenstein (ACM Comput. Surv., 2024)

A Reality Check on Context Utilisation for Retrieval-Augmented Generation. - Lovisa Hagström; Sara Vera Marjanovic; Haeun Yu; Arnav Arora; Christina Lioma; Maria Maistro; Pepa Atanasova; Isabelle Augenstein (ACL (1), 2025)

Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking. - Greta Warren; Irina Shklovski; Isabelle Augenstein (CHI, 2025)

SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. - Gayane Ghazaryan; Erik Arakelyan; Isabelle Augenstein; Pasquale Minervini (COLING, 2025)

Investigating Human Values in Online Communities. - Nadav Borenstein; Arnav Arora; Lucie-Aimée Kaffee; Isabelle Augenstein (NAACL (Long Papers), 2025)

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations. - Yong Cao 001; Haijiang Liu; Arnav Arora; Isabelle Augenstein; Paul Röttger; Daniel Hershcovich (NAACL (Long Papers), 2025)

Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. - Amalie Brogaard Pauli; Isabelle Augenstein; Ira Assent (NAACL (Long Papers), 2025)

Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework. - Jingyi Sun; Pepa Atanasova; Isabelle Augenstein (NAACL (Long Papers), 2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (SIGIR, 2025)

With Great Backbones Comes Great Adversarial Transferability. - Erik Arakelyan; Karen Hambardzumyan; Davit Papikyan; Pasquale Minervini; Albert Gordo; Isabelle Augenstein; Aram H. Markosyan (CoRR, 2025)

Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (CoRR, 2025)

Presumed Cultural Identity: How Names Shape LLM Responses. - Siddhesh Pawar; Arnav Arora; Lucie-Aimée Kaffee; Isabelle Augenstein (CoRR, 2025)

Can Community Notes Replace Professional Fact-Checkers? - Nadav Borenstein; Greta Warren; Desmond Elliott; Isabelle Augenstein (CoRR, 2025)

Unstructured Evidence Attribution for Long Context Query Focused Summarization. - Dustin Wright 001; Zain Muhammad Mujahid; Lu Wang 008; Isabelle Augenstein; David Jurgens (CoRR, 2025)

A Meta-Evaluation of Style and Attribute Transfer Metrics. - Amalie Brogaard Pauli; Isabelle Augenstein; Ira Assent (CoRR, 2025)

Multi-Modal Framing Analysis of News. - Arnav Arora; Srishti Yadav; Maria Antoniak; Serge J. Belongie; Isabelle Augenstein (CoRR, 2025)

CUB: Benchmarking Context Utilisation Techniques for Language Models. - Lovisa Hagström; Youna Kim; Haeun Yu; Sang-goo Lee; Richard Johansson; Hyunsoo Cho; Isabelle Augenstein (CoRR, 2025)

Explaining Sources of Uncertainty in Automated Fact-Checking. - Jingyi Sun; Greta Warren; Irina Shklovski; Isabelle Augenstein (CoRR, 2025)

Community Moderation and the New Epistemology of Fact Checking on Social Media. - Isabelle Augenstein; Michiel Bakker; Tanmoy Chakraborty 002; David P. A. Corney; Emilio Ferrara; Iryna Gurevych; Scott Hale; Eduard H. Hovy; Heng Ji 001; Irene Larraz; Filippo Menczer; Preslav Nakov; et al. (CoRR, 2025)

Modeling Public Perceptions of Science in Media. - Jiaxin Pei; Dustin Wright 001; Isabelle Augenstein; David Jurgens (CoRR, 2025)

Reliable Evaluation Protocol for Low-Precision Retrieval. - Kisu Yang; Yoonna Jang; Hwanseok Jang; Kenneth Choi; Isabelle Augenstein; Heuiseok Lim (CoRR, 2025)

BiasGym: Fantastic LLM Biases and How to Find (and Remove) Them. - Sekh Mainul Islam; Nadav Borenstein; Siddhesh Pawar; Haeun Yu; Arnav Arora; Isabelle Augenstein (CoRR, 2025)

Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models. - Haeun Yu; Seogyeong Jeong; Siddhesh Pawar; Jisu Shin 001; Jiho Jin; Junho Myung; Alice Oh; Isabelle Augenstein (CoRR, 2025)