Isabelle Augenstein

105 papers · 2013–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🗺️ Taxonomy Completionist (134) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (41) 🤝 Dynamic Duo (16) 🔬 Deep Specialist (14) 🧬 Topic Evolution 🏆 Keyword Champion (10) ⚡ Prolific Year (13) 💎 Century Club (105) 🗃️ Keyword Collector (409) ❓ The Questioner (11) 📈 Trend Setter 🔥 Unstoppable (11) 🚀 Conference Pioneer

Conferences

EMNLP (41) ACL (24) NAACL (14) AAAI (5) EACL (4) IJCNLP (4) SEMEVAL (4) COLING (3) CONLL (2) NIPS (2) IJCAI (1) UAI (1)

Top co-authors

Johannes Bjerva (16) Arnav Arora (15) Pepa Atanasova (12) Ryan Cotterell (11) Dustin Wright (11) Nadav Borenstein (9) Anders Søgaard (9) Christina Lioma (9) Lucie-Aimée Kaffee (6) Jakob Grue Simonsen (6)

Research topics

Applications (1) Linguistics (1)

Keywords

language model (12) text classification (12) fact checking (10) multi-task learning (9) sentiment analysis (9) cross-lingual transfer (9) question answering (9) large language model (8) natural language inference (7) neural network (7) domain adaptation (6) claim verification (6) stance detection (5) text generation (5) representation learning (5) multilingual nlp (4) low-resource language (4) model interpretability (4) parameter sharing (4) natural language understanding (3)

Papers

Investigating Human Values in Online Communities NAACL 2025

Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework NAACL 2025

SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages COLING 2025

Multi-Modal Framing Analysis of News EMNLP 2025

Graph-Guided Textual Explanation Generation Framework EMNLP 2025

FLARE: Faithful Logic-Aided Reasoning and Exploration EMNLP 2025

Explainability and Interpretability of Multilingual Large Language Models: A Survey EMNLP 2025

Unstructured Evidence Attribution for Long Context Query Focused Summarization EMNLP 2025

Measuring and Benchmarking Large Language Models’ Capabilities to Generate Persuasive Language NAACL 2025

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations NAACL 2025

Presumed Cultural Identity: How Names Shape LLM Responses EMNLP 2025

A Reality Check on Context Utilisation for Retrieval-Augmented Generation ACL 2025

Can Community Notes Replace Professional Fact-Checkers? ACL 2025

Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics EMNLP 2025

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods ACL 2024

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

Understanding Fine-grained Distortions in Reports of Scientific Findings ACL 2024

Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models EMNLP 2024

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models EMNLP 2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024

Social Bias Probing: Fairness Benchmarking for Language Models EMNLP 2024

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models EACL 2024

Can Transformers Learn n-gram Language Models? EMNLP 2024

Explaining Interactions Between Text Spans EMNLP 2023

Probing Pre-Trained Language Models for Cross-Cultural Differences in Values EACL 2023

People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection EMNLP 2023

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions EMNLP 2023

PHD: Pixel-Based Language Modeling of Historical Documents EMNLP 2023

A Latent-Variable Model for Intrinsic Probing AAAI 2023

Multilingual Event Extraction from Historical Newspaper Adverts ACL 2023

Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection ACL 2023

Faithfulness Tests for Natural Language Explanations ACL 2023

Measuring Intersectional Biases in Historical Documents ACL 2023

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering NIPS 2023

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing EMNLP 2023

Measuring Gender Bias in West Slavic Language Models EACL 2023

TempEL: Linking Dynamically Evolving and Newly Emerging Entities NIPS 2022

Diagnostics-Guided Explanation Generation AAAI 2022

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training AAAI 2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking ACL 2022

Machine Reading, Fast and Slow: When Do Models “Understand” Language? COLING 2022

Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? COLING 2022

Modeling Information Change in Science Communication with Semantically Matched Paraphrases EMNLP 2022

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings EMNLP 2022

Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models NAACL 2022

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection NAACL 2022

A Survey on Stance Detection for Mis- and Disinformation Identification NAACL 2022

Multi-sense Language Modelling NAACL 2022

Multi-Hop Fact Checking of Political Claims IJCAI 2021

How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021

Cross-Domain Label-Adaptive Stance Detection EMNLP 2021

Determining the Credibility of Science Communication NAACL 2021

Inducing Language-Agnostic Multilingual Representations IJCNLP 2021

Does Typological Blinding Impede Cross-Lingual Sharing? EACL 2021

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding IJCNLP 2021

Is Sparse Attention more Interpretable? IJCNLP 2021

Inducing Language-Agnostic Multilingual Representations ACL 2021

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding ACL 2021

Is Sparse Attention more Interpretable? ACL 2021

Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021

2kenize: Tying Subword Sequences for Chinese Script Conversion ACL 2020

Generating Fact Checking Explanations ACL 2020

A Diagnostic Study of Explainability Techniques for Text Classification EMNLP 2020

Zero-Shot Cross-Lingual Transfer with Meta Learning EMNLP 2020

SubjQA: A Dataset for Subjectivity and Review Comprehension EMNLP 2020

Transformer Based Multi-Source Domain Adaptation EMNLP 2020

Claim Check-Worthiness Detection as Positive Unlabelled Learning EMNLP 2020

What Can We Do to Improve Peer Review in NLP? EMNLP 2020

Unsupervised Evaluation for Question Answering with Transformers EMNLP 2020

SIGTYP 2020 Shared Task: Prediction of Typological Features EMNLP 2020

Generating Label Cohesive and Well-Formed Adversarial Claims EMNLP 2020

Back to the Future – Temporal Adaptation of Text Representations AAAI 2020

TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP UAI 2020

A Probabilistic Generative Model of Linguistic Typology NAACL 2019

Latent Multi-Task Architecture Learning AAAI 2019

Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) ACL 2019

Uncovering Probabilistic Implications in Typological Knowledge Bases ACL 2019

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling ACL 2019

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims IJCNLP 2019

Combining Sentiment Lexica with a Multi-View Variational Autoencoder NAACL 2019

Issue Framing in Online Discussion Fora NAACL 2019

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension EMNLP 2019

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims EMNLP 2019

Mapping (Dis-)Information Flow about the MH17 Plane Crash EMNLP 2019

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models EMNLP 2019

Proceedings of the Third Workshop on Representation Learning for NLP ACL 2018

A strong baseline for question relevancy ranking EMNLP 2018

From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings NAACL 2018

Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding CONLL 2018

Jack the Reader – A Machine Reading Framework ACL 2018

Character-level Supervision for Low-resource POS Tagging ACL 2018

Parameter sharing between dependency parsers for related languages EMNLP 2018

Nightmare at test time: How punctuation prevents parsers from generalizing EMNLP 2018

Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces NAACL 2018

KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets SEMEVAL 2018

A Supervised Approach to Extractive Summarisation of Scientific Papers CONLL 2017

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

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications SEMEVAL 2017

Multi-Task Learning of Keyphrase Boundary Classification ACL 2017

Numerically Grounded Language Models for Semantic Error Correction EMNLP 2016

Stance Detection with Bidirectional Conditional Encoding EMNLP 2016

USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders SEMEVAL 2016

Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning EMNLP 2015

Mining Equivalent Relations from Linked Data ACL 2013