Isabelle Augenstein

286 papers A* 30A 3B 8C 1Journal 165Unranked 70
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns.
CoRR
Amalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein, Isabelle Augenstein, Ira Assent
2026 J jnl
Interpretable Debiasing of Vision-Language Models for Social Fairness.
CoRR
Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim
2026 J jnl
Show me the evidence: Evaluating the role of evidence and natural language explanations in AI-supported fact-checking.
CoRR
Greta Warren, Jingyi Sun, Irina Shklovski, Isabelle Augenstein
2026 J jnl
Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025.
CoRR
Isabelle Augenstein
2025 J jnl
A Meta-Evaluation of Style and Attribute Transfer Metrics.
CoRR
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
2025 — conf
A Reality Check on Context Utilisation for Retrieval-Augmented Generation.
ACL (1)
Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein
2025 J jnl
BiasGym: Fantastic LLM Biases and How to Find (and Remove) Them.
CoRR
Sekh Mainul Islam, Nadav Borenstein, Siddhesh Pawar, Haeun Yu, Arnav Arora, Isabelle Augenstein
2025 J jnl
CUB: Benchmarking Context Utilisation Techniques for Language Models.
CoRR
Lovisa Hagström, Youna Kim, Haeun Yu, Sang-goo Lee, Richard Johansson, Hyunsoo Cho, Isabelle Augenstein
2025 — conf
Can Community Notes Replace Professional Fact-Checkers?
ACL (2)
Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein
2025 J jnl
Can Community Notes Replace Professional Fact-Checkers?
CoRR
Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein
2025 J jnl
Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence.
CoRR
Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
2025 J jnl
Community Moderation and the New Epistemology of Fact Checking on Social Media.
CoRR
Isabelle Augenstein, Michiel A. Bakker, Tanmoy Chakraborty, David P. A. Corney, Emilio Ferrara, Iryna Gurevych, Scott Hale, Eduard H. Hovy, Heng Ji, Irene Larraz, Filippo Menczer, Preslav Nakov, Paolo Papotti, Dhruv Sahnan, Greta Warren, Giovanni Zagni
2025 A* conf
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking.
SIGIR
Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
2025 J jnl
Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models.
CoRR
Haeun Yu, Seogyeong Jeong, Siddhesh Pawar, Jisu Shin, Jiho Jin, Junho Myung, Alice Oh, Isabelle Augenstein
2025 J jnl
Epistemic Diversity and Knowledge Collapse in Large Language Models.
CoRR
Dustin Wright, Sarah Masud, Jared Moore, Srishti Yadav, Maria Antoniak, Chan Young Park, Isabelle Augenstein
2025 — conf
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework.
NAACL (Long Papers)
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
2025 J jnl
Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models.
CoRR
Jingyi Sun, Pepa Atanasova, Sagnik Ray Choudhury, Sekh Mainul Islam, Isabelle Augenstein
2025 J jnl
Expanding Computation Spaces of LLMs at Inference Time.
CoRR
Yoonna Jang, Kisu Yang, Isabelle Augenstein
2025 A* conf
Explainability and Interpretability of Multilingual Large Language Models: A Survey.
EMNLP
Lucas Resck, Isabelle Augenstein, Anna Korhonen
2025 J jnl
Explaining Sources of Uncertainty in Automated Fact-Checking.
CoRR
Jingyi Sun, Greta Warren, Irina Shklovski, Isabelle Augenstein
2025 A* conf
FLARE: Faithful Logic-Aided Reasoning and Exploration.
EMNLP
Erik Arakelyan, Pasquale Minervini, Patrick S. H. Lewis, Pat Verga, Isabelle Augenstein
2025 A* conf
Graph-Guided Textual Explanation Generation Framework.
EMNLP
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
2025 — conf
Investigating Human Values in Online Communities.
NAACL (Long Papers)
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
2025 — conf
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language.
NAACL (Long Papers)
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
2025 — conf
Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics.
EMNLP (Findings)
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
2025 J jnl
Modeling Public Perceptions of Science in Media.
CoRR
Jiaxin Pei, Dustin Wright, Isabelle Augenstein, David Jurgens
2025 A* conf
Multi-Modal Framing Analysis of News.
EMNLP
Arnav Arora, Srishti Yadav, Maria Antoniak, Serge J. Belongie, Isabelle Augenstein
2025 J jnl
Multi-Modal Framing Analysis of News.
CoRR
Arnav Arora, Srishti Yadav, Maria Antoniak, Serge J. Belongie, Isabelle Augenstein
2025 J jnl
Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement.
CoRR
Sekh Mainul Islam, Pepa Atanasova, Isabelle Augenstein
2025 — conf
Presumed Cultural Identity: How Names Shape LLM Responses.
EMNLP (Findings)
Siddhesh Pawar, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
2025 J jnl
Presumed Cultural Identity: How Names Shape LLM Responses.
CoRR
Siddhesh Pawar, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
2025 J jnl
Reliable Evaluation Protocol for Low-Precision Retrieval.
CoRR
Kisu Yang, Yoonna Jang, Hwanseok Jang, Kenneth Choi, Isabelle Augenstein, Heuiseok Lim
2025 A* conf
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking.
CHI
Greta Warren, Irina Shklovski, Isabelle Augenstein
2025 J jnl
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking.
CoRR
Greta Warren, Irina Shklovski, Isabelle Augenstein
2025 — conf
Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations.
NAACL (Long Papers)
Yong Cao, Haijiang Liu, Arnav Arora, Isabelle Augenstein, Paul Röttger, Daniel Hershcovich
2025 J jnl
Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations.
CoRR
Yong Cao, Haijiang Liu, Arnav Arora, Isabelle Augenstein, Paul Röttger, Daniel Hershcovich
2025 J jnl
Stress Testing Factual Consistency Metrics for Long-Document Summarization.
CoRR
Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein
2025 B conf
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
COLING
Gayane Ghazaryan, Erik Arakelyan, Isabelle Augenstein, Pasquale Minervini
2025 J jnl
Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A Keynote at ECIR 2025.
SIGIR Forum
Isabelle Augenstein
2025 A* conf
Unstructured Evidence Attribution for Long Context Query Focused Summarization.
EMNLP
Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
2025 J jnl
Unstructured Evidence Attribution for Long Context Query Focused Summarization.
CoRR
Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
2025 J jnl
With Great Backbones Comes Great Adversarial Transferability.
CoRR
Erik Arakelyan, Karen Hambardzumyan, Davit Papikyan, Pasquale Minervini, Albert Gordo, Isabelle Augenstein, Aram H. Markosyan
2024 J jnl
A Reality Check on Context Utilisation for Retrieval-Augmented Generation.
CoRR
Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein
2024 J jnl
A Unified Framework for Input Feature Attribution Analysis.
CoRR
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
2024 J jnl
Can Transformers Learn
CoRR
Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell
2024 A* conf
Can Transformers Learn n-gram Language Models?
EMNLP
Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell
2024 J jnl
Claim Verification in the Age of Large Language Models: A Survey.
CoRR
Alphaeus Dmonte, Roland Oruche, Marcos Zampieri, Prasad Calyam, Isabelle Augenstein
2024 — conf
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models.
EMNLP (Findings)
Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
2024 J jnl
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go.
ACM Comput. Surv.
Arnav Arora, Preslav Nakov, Momchil Hardalov, Sheikh Muhammad Sarwar, Vibha Nayak, Yoan Dinkov, Dimitrina Zlatkova, Kyle Dent, Ameya Bhatawdekar, Guillaume Bouchard, Isabelle Augenstein
2024 J jnl
FLARE: Faithful Logic-Aided Reasoning and Exploration.
CoRR
Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick S. H. Lewis, Isabelle Augenstein
2024 — conf
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.
EMNLP (Findings)
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, Preslav Nakov
2024 J jnl
Factuality challenges in the era of large language models and opportunities for fact-checking.
Nat. Mac. Intell.
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram A. Scheufele, Shivam Sharma, Giovanni Zagni
2024 J jnl
From Internal Conflict to Contextual Adaptation of Language Models.
CoRR
Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
2024 J jnl
Graph-Guided Textual Explanation Generation Framework.
CoRR
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
2024 J jnl
Investigating Human Values in Online Communities.
CoRR
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
2024 — conf
Investigating the Impact of Model Instability on Explanations and Uncertainty.
ACL (Findings)
Sara Marjanovic, Isabelle Augenstein, Christina Lioma
2024 J jnl
Investigating the Impact of Model Instability on Explanations and Uncertainty.
CoRR
Sara Vera Marjanovic, Isabelle Augenstein, Christina Lioma
2024 — conf
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models.
EMNLP (Findings)
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein
2024 J jnl
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language.
CoRR
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
2024 J jnl
Revealing Fine-Grained Values and Opinions in Large Language Models.
CoRR
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein
2024 — conf
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods.
ACL (1)
Haeun Yu, Pepa Atanasova, Isabelle Augenstein
2024 J jnl
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods.
CoRR
Haeun Yu, Pepa Atanasova, Isabelle Augenstein
2024 — conf
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models.
EACL (1)
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
2024 J jnl
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models.
CoRR
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
2024 A* conf
Social Bias Probing: Fairness Benchmarking for Language Models.
EMNLP
Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
2024 J jnl
Survey of Cultural Awareness in Language Models: Text and Beyond.
CoRR
Siddhesh Pawar, Junyeong Park, Jiho Jin, Arnav Arora, Junho Myung, Srishti Yadav, Faiz Ghifari Haznitrama, Inhwa Song, Alice Oh, Isabelle Augenstein
2024 J jnl
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
CoRR
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
2024 — conf
Understanding Fine-grained Distortions in Reports of Scientific Findings.
ACL (Findings)
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
2024 J jnl
Understanding Fine-grained Distortions in Reports of Scientific Findings.
CoRR
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
2024 — conf
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.
ACL (1)
Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell
2024 J jnl
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.
CoRR
Nadav Borenstein, Anej Svete, Robin Shing Moon Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell
2023 A* conf
A Latent-Variable Model for Intrinsic Probing.
AAAI
Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein
2023 J jnl
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives.
ACM Comput. Surv.
Nils Rethmeier, Isabelle Augenstein
2023 J jnl
Adapting Neural Link Predictors for Complex Query Answering.
CoRR
Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
2023 A* conf
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.
NeurIPS
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
2023 A* conf
Explaining Interactions Between Text Spans.
EMNLP
Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein
2023 J jnl
Explaining Interactions Between Text Spans.
CoRR
Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein
2023 J jnl
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output.
CoRR
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, Preslav Nakov
2023 J jnl
Factuality Challenges in the Era of Large Language Models.
CoRR
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram A. Scheufele, Shivam Sharma, Giovanni Zagni
2023 — conf
Faithfulness Tests for Natural Language Explanations.
ACL (2)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
2023 J jnl
Faithfulness Tests for Natural Language Explanations.
CoRR
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
2023 — ed.
Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023
EACL (Findings)
Andreas Vlachos, Isabelle Augenstein
2023 J jnl
Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective.
CoRR
Karolina Stanczak, Kevin Du, Adina Williams, Isabelle Augenstein, Ryan Cotterell
2023 J jnl
Introduction to the Special Issue on Truth and Trust Online.
ACM J. Data Inf. Qual.
Dustin Wright, Paolo Papotti, Isabelle Augenstein
2023 J jnl
Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide.
CoRR
Yevgeniy Golovchenko, Karolina Stanczak, Rebecca Adler-Nissen, Patrice Wangen, Isabelle Augenstein
2023 J jnl
Measuring Gender Bias in West Slavic Language Models.
CoRR
Sandra Martinková, Karolina Stanczak, Isabelle Augenstein
2023 — conf
Measuring Intersectional Biases in Historical Documents.
ACL (Findings)
Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Käfer, Natalia da Silva Perez, Isabelle Augenstein
2023 J jnl
Measuring Intersectional Biases in Historical Documents.
CoRR
Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natalia da Silva Perez, Natacha Klein Käfer, Isabelle Augenstein
2023 — conf
Multilingual Event Extraction from Historical Newspaper Adverts.
ACL (1)
Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein
2023 J jnl
Multilingual Event Extraction from Historical Newspaper Adverts.
CoRR
Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein
2023 A* conf
PHD: Pixel-Based Language Modeling of Historical Documents.
EMNLP
Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein
2023 J jnl
PHD: Pixel-Based Language Modeling of Historical Documents.
CoRR
Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein
2023 A* conf
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection.
EMNLP
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner
2023 J jnl
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection.
CoRR
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner
2023 J jnl
Preface: Special issue on NLP approaches to offensive content online.
Nat. Lang. Eng.
Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov
2023 A ed.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023
EACL
Andreas Vlachos, Isabelle Augenstein
2023 — ed.
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023.
RepL4NLP@ACL
Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita
2023 J jnl
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension.
ACM Comput. Surv.
Anna Rogers, Matt Gardner, Isabelle Augenstein
2023 J jnl
Revisiting Softmax for Uncertainty Approximation in Text Classification.
Inf.
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
2023 J jnl
Social Bias Probing: Fairness Benchmarking for Language Models.
CoRR
Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
2023 J jnl
TempEL: Linking Dynamically Evolving and Newly Emerging Entities.
CoRR
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
2023 — conf
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing.
EMNLP (Findings)
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein
2023 J jnl
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing.
CoRR
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein
2023 — conf
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection.
ACL (1)
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
2023 J jnl
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection.
CoRR
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
2023 A* conf
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions.
EMNLP
Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein
2023 J jnl
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions.
CoRR
Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein
2022 J jnl
A Latent-Variable Model for Intrinsic Probing.
CoRR
Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein
2022 J jnl
A Neighborhood Framework for Resource-Lean Content Flagging.
Trans. Assoc. Comput. Linguistics
Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov
2022 — conf
A Survey on Stance Detection for Mis- and Disinformation Identification.
NAACL-HLT (Findings)
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2022 B conf
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?
COLING
Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein
2022 — conf
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection.
NAACL-HLT
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein
2022 J jnl
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection.
CoRR
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein
2022 A* conf
Diagnostics-Guided Explanation Generation.
AAAI
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2022 J jnl
Fact Checking with Insufficient Evidence.
CoRR
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2022 J jnl
Fact Checking with Insufficient Evidence.
Trans. Assoc. Comput. Linguistics
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2022 A* conf
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training.
AAAI
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2022 J jnl
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing.
Inf.
Shailza Jolly, Pepa Atanasova, Isabelle Augenstein
2022 — conf
Generating Scientific Claims for Zero-Shot Scientific Fact Checking.
ACL (1)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
2022 J jnl
Generating Scientific Claims for Zero-Shot Scientific Fact Checking.
CoRR
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
2022 J jnl
Habilitation Abstract: Towards Explainable Fact Checking.
Künstliche Intell.
Isabelle Augenstein
2022 J jnl
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
Inf. Fusion
Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez
2022 J jnl
Joint emotion label space modeling for affect lexica.
Comput. Speech Lang.
Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein
2022 — conf
Longitudinal Citation Prediction using Temporal Graph Neural Networks.
SDU@AAAI
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
2022 B conf
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
COLING
Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein
2022 J jnl
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
CoRR
Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein
2022 A* conf
Modeling Information Change in Science Communication with Semantically Matched Paraphrases.
EMNLP
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022 J jnl
Modeling Information Change in Science Communication with Semantically Matched Paraphrases.
CoRR
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022 J jnl
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization.
CoRR
Dustin Wright, Isabelle Augenstein
2022 C conf
Multi3Generation: Multitask, Multilingual, Multimodal Language Generation.
EAMT
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, François Portet, Isabelle Augenstein, Mirela Alhasani
2022 A* conf
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.
EMNLP
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm
2022 J jnl
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.
CoRR
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm
2022 J jnl
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values.
CoRR
Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
2022 — ed.
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022
RepL4NLP@ACL
Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer
2022 J jnl
Revisiting Softmax for Uncertainty Approximation in Text Classification.
CoRR
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
2022 — conf
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models.
NAACL-HLT
Karolina Stanczak, Edoardo M. Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein
2022 J jnl
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models.
CoRR
Karolina Stanczak, Edoardo Maria Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein
2022 A* conf
TempEL: Linking Dynamically Evolving and Newly Emerging Entities.
NeurIPS
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
2021 J jnl
A Neighbourhood Framework for Resource-Lean Content Flagging.
CoRR
Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov
2021 J jnl
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives.
CoRR
Nils Rethmeier, Isabelle Augenstein
2021 J jnl
A Survey on Gender Bias in Natural Language Processing.
CoRR
Karolina Stanczak, Isabelle Augenstein
2021 J jnl
A Survey on Stance Detection for Mis- and Disinformation Identification.
CoRR
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021 J jnl
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?
CoRR
Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein
2021 — conf
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding.
ACL/IJCNLP (Findings)
Dustin Wright, Isabelle Augenstein
2021 J jnl
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding.
CoRR
Dustin Wright, Isabelle Augenstein
2021 — conf
Cross-Domain Label-Adaptive Stance Detection.
EMNLP (1)
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021 J jnl
Cross-Domain Label-Adaptive Stance Detection.
CoRR
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021 J jnl
Detecting Abusive Language on Online Platforms: A Critical Analysis.
CoRR
Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein
2021 J jnl
Determining the Credibility of Science Communication.
CoRR
Isabelle Augenstein
2021 J jnl
Diagnostics-Guided Explanation Generation.
CoRR
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2021 J jnl
Disembodied Machine Learning: On the Illusion of Objectivity in NLP.
CoRR
Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein
2021 A conf
Does Typological Blinding Impede Cross-Lingual Sharing?
EACL
Johannes Bjerva, Isabelle Augenstein
2021 J jnl
Does Typological Blinding Impede Cross-Lingual Sharing?
CoRR
Johannes Bjerva, Isabelle Augenstein
2021 J jnl
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training.
CoRR
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021 J jnl
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing.
CoRR
Shailza Jolly, Pepa Atanasova, Isabelle Augenstein
2021 — conf
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
EMNLP (1)
Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein
2021 J jnl
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
CoRR
Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein
2021 — conf
Inducing Language-Agnostic Multilingual Representations.
*SEM
Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein
2021 — conf
Is Sparse Attention more Interpretable?
ACL/IJCNLP (2)
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
2021 J jnl
Is Sparse Attention more Interpretable?
CoRR
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
2021 A* conf
Multi-Hop Fact Checking of Political Claims.
IJCAI
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein
2021 — ed.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, EACL 2021, Online, April 19-20, 2021
EACL (Tutorial Abstracts)
Isabelle Augenstein, Ivan Habernal
2021 — ed.
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021.
TTO
Isabelle Augenstein, Paolo Papotti, Dustin Wright
2021 J jnl
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension.
CoRR
Anna Rogers, Matt Gardner, Isabelle Augenstein
2021 J jnl
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models.
CoRR
Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein
2021 J jnl
Quantifying Gender Biases Towards Politicians on Reddit.
CoRR
Sara Marjanovic, Karolina Stanczak, Isabelle Augenstein
2021 — conf
Semi-Supervised Exaggeration Detection of Health Science Press Releases.
EMNLP (1)
Dustin Wright, Isabelle Augenstein
2021 J jnl
Semi-Supervised Exaggeration Detection of Health Science Press Releases.
CoRR
Dustin Wright, Isabelle Augenstein
2021 J jnl
Time-aware evidence ranking for fact-checking.
J. Web Semant.
Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens
2021 J jnl
Towards Explainable Fact Checking.
CoRR
Isabelle Augenstein
2021 J jnl
University of Copenhagen Participation in TREC Health Misinformation Track 2020.
CoRR
Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
2020 A* conf
2kenize: Tying Subword Sequences for Chinese Script Conversion.
ACL
Pranav A, Isabelle Augenstein
2020 J jnl
2kenize: Tying Subword Sequences for Chinese Script Conversion.
CoRR
Pranav A, Isabelle Augenstein
2020 — conf
A Diagnostic Study of Explainability Techniques for Text Classification.
EMNLP (1)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2020 J jnl
A Diagnostic Study of Explainability Techniques for Text Classification.
CoRR
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2020 A* conf
Back to the Future - Temporal Adaptation of Text Representations.
AAAI
Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein
2020 — conf
Claim Check-Worthiness Detection as Positive Unlabelled Learning.
EMNLP (Findings)
Dustin Wright, Isabelle Augenstein
2020 J jnl
Fact Check-Worthiness Detection as Positive Unlabelled Learning.
CoRR
Dustin Wright, Isabelle Augenstein
2020 A* conf
Generating Fact Checking Explanations.
ACL
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2020 J jnl
Generating Fact Checking Explanations.
CoRR
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
2020 — conf
Generating Label Cohesive and Well-Formed Adversarial Claims.
EMNLP (1)
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
2020 J jnl
Generating Label Cohesive and Well-Formed Adversarial Claims.
CoRR
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
2020 J jnl
Inducing Language-Agnostic Multilingual Representations.
CoRR
Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein
2020 J jnl
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data.
CoRR
Nils Rethmeier, Isabelle Augenstein
2020 J jnl
Longitudinal Citation Prediction using Temporal Graph Neural Networks.
CoRR
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
2020 J jnl
Multi-Hop Fact Checking of Political Claims.
CoRR
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein
2020 J jnl
Multi-Sense Language Modelling.
CoRR
Andrea Lekkas, Peter Schneider-Kamp, Isabelle Augenstein
2020 J jnl
SIGTYP 2020 Shared Task: Prediction of Typological Features.
CoRR
Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo Maria Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein
2020 — conf
Semantic Textual Similarity of Sentences with Emojis.
WWW (Companion Volume)
Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein
2020 — conf
SubjQA: A Dataset for Subjectivity and Review Comprehension.
EMNLP (1)
Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein
2020 J jnl
SubjQA: A Dataset for Subjectivity and Review Comprehension.
CoRR
Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein
2020 A conf
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP.
UAI
Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein
2020 J jnl
Time-Aware Evidence Ranking for Fact-Checking.
CoRR
Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens
2020 — conf
Transformer Based Multi-Source Domain Adaptation.
EMNLP (1)
Dustin Wright, Isabelle Augenstein
2020 J jnl
Transformer Based Multi-Source Domain Adaptation.
CoRR
Dustin Wright, Isabelle Augenstein
2020 — conf
University of Copenhagen Participation in TREC Health Misinformation Track 2020.
TREC
Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
2020 — conf
Unsupervised Evaluation for Question Answering with Transformers.
BlackboxNLP@EMNLP
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
2020 J jnl
Unsupervised Evaluation for Question Answering with Transformers.
CoRR
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
2020 — conf
What Can We Do to Improve Peer Review in NLP?
EMNLP (Findings)
Anna Rogers, Isabelle Augenstein
2020 J jnl
What Can We Do to Improve Peer Review in NLP?
CoRR
Anna Rogers, Isabelle Augenstein
2020 — conf
Zero-Shot Cross-Lingual Transfer with Meta Learning.
EMNLP (1)
Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein
2020 J jnl
Zero-Shot Cross-Lingual Transfer with Meta Learning.
CoRR
Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein
2019 — conf
A Probabilistic Generative Model of Linguistic Typology.
NAACL-HLT (1)
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein
2019 J jnl
A Probabilistic Generative Model of Linguistic Typology.
CoRR
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein
2019 J jnl
Back to the Future - Sequential Alignment of Text Representations.
CoRR
Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein
2019 — conf
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs.
SemEval@NAACL-HLT
Ana Valeria González-Garduño, Victor Petrén Bach Hansen, Joachim Bingel, Isabelle Augenstein, Anders Søgaard
2019 — conf
Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
NAACL-HLT (1)
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein
2019 J jnl
Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
CoRR
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein
2019 J jnl
Domain Transfer in Dialogue Systems without Turn-Level Supervision.
CoRR
Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria González-Garduño, Pawel Budzianowski, Isabelle Augenstein, Anders Søgaard
2019 — conf
Issue Framing in Online Discussion Fora.
NAACL-HLT (1)
Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein, Anders Søgaard
2019 J jnl
Issue Framing in Online Discussion Fora.
CoRR
Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein, Anders Søgaard
2019 J jnl
Joint Emotion Label Space Modelling for Affect Lexica.
CoRR
Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein
2019 A* conf
Latent Multi-Task Architecture Learning.
AAAI
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard
2019 J jnl
Mapping (Dis-)Information Flow about the MH17 Plane Crash.
CoRR
Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
2019 — conf
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims.
EMNLP/IJCNLP (1)
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen
2019 J jnl
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims.
CoRR
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen
2019 — ed.
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019.
RepL4NLP@ACL
Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei
2019 J jnl
Retrieval-based Goal-Oriented Dialogue Generation.
CoRR
Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard
2019 J jnl
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP.
CoRR
Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein
2019 — conf
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models.
DeepLo@EMNLP-IJCNLP
Johannes Bjerva, Katharina Kann, Isabelle Augenstein
2019 J jnl
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models.
CoRR
Johannes Bjerva, Katharina Kann, Isabelle Augenstein
2019 — conf
Uncovering Probabilistic Implications in Typological Knowledge Bases.
ACL (1)
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein
2019 J jnl
Uncovering Probabilistic Implications in Typological Knowledge Bases.
CoRR
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein
2019 — conf
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling.
ACL (1)
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell
2019 J jnl
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling.
CoRR
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell
2019 J jnl
What Do Language Representations Really Represent?
Comput. Linguistics
Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
2019 J jnl
What do Language Representations Really Represent?
CoRR
Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein
2019 — conf
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension.
DeepLo@EMNLP-IJCNLP
Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard
2019 J jnl
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension.
CoRR
Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard
2018 A* conf
A strong baseline for question relevancy ranking.
EMNLP
Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard
2018 J jnl
A strong baseline for question relevancy ranking.
CoRR
Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard
2018 — conf
Character-level Supervision for Low-resource POS Tagging.
DeepLo@ACL
Katharina Kann, Johannes Bjerva, Isabelle Augenstein, Barbara Plank, Anders Søgaard
2018 — conf
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding.
CoNLL Shared Task (1)
Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein
2018 J jnl
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding.
CoRR
Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein
2018 J jnl
Discourse-aware rumour stance classification in social media using sequential classifiers.
Inf. Process. Manag.
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein
2018 — conf
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings.
NAACL-HLT
Johannes Bjerva, Isabelle Augenstein
2018 J jnl
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings.
CoRR
Johannes Bjerva, Isabelle Augenstein
2018 — conf
Jack the Reader - A Machine Reading Framework.
ACL (4)
Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
2018 J jnl
Jack the Reader - A Machine Reading Framework.
CoRR
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
2018 — conf
KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets.
SemEval@NAACL-HLT
Thomas Nyegaard-Signori, Casper Veistrup Helms, Johannes Bjerva, Isabelle Augenstein
2018 — conf
Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces.
NAACL-HLT
Isabelle Augenstein, Sebastian Ruder, Anders Søgaard
2018 J jnl
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces.
CoRR
Isabelle Augenstein, Sebastian Ruder, Anders Søgaard
2018 — conf
Nightmare at test time: How punctuation prevents parsers from generalizing.
BlackboxNLP@EMNLP
Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein
2018 J jnl
Nightmare at test time: How punctuation prevents parsers from generalizing.
CoRR
Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein
2018 A* conf
Parameter sharing between dependency parsers for related languages.
EMNLP
Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard
2018 J jnl
Parameter sharing between dependency parsers for related languages.
CoRR
Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard
2018 — ed.
Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018
Rep4NLP@ACL
Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra
2017 B conf
A Supervised Approach to Extractive Summarisation of Scientific Papers.
CoNLL
Ed Collins, Isabelle Augenstein, Sebastian Riedel
2017 J jnl
A Supervised Approach to Extractive Summarisation of Scientific Papers.
CoRR
Ed Collins, Isabelle Augenstein, Sebastian Riedel
2017 J jnl
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task.
CoRR
Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis, Sebastian Riedel
2017 J jnl
An unsupervised data-driven method to discover equivalent relations in large Linked Datasets.
Semantic Web
Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, Fabio Ciravegna
2017 J jnl
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers.
CoRR
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein
2017 J jnl
Generalisation in Named Entity Recognition: A Quantitative Analysis.
CoRR
Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva
2017 J jnl
Generalisation in named entity recognition: A quantitative analysis.
Comput. Speech Lang.
Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva
2017 — conf
Multi-Task Learning of Keyphrase Boundary Classification.
ACL (2)
Isabelle Augenstein, Anders Søgaard
2017 J jnl
Multi-Task Learning of Keyphrase Boundary Classification.
CoRR
Isabelle Augenstein, Anders Søgaard
2017 — conf
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.
SemEval@ACL
Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum
2017 J jnl
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.
CoRR
Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum
2017 J jnl
Sluice networks: Learning what to share between loosely related tasks.
CoRR
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard
2017 J jnl
Tracking Typological Traits of Uralic Languages in Distributed Language Representations.
CoRR
Johannes Bjerva, Isabelle Augenstein
2017 J jnl
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM.
CoRR
Elena Kochkina, Maria Liakata, Isabelle Augenstein
2016 J jnl
Distantly supervised Web relation extraction for knowledge base population.
Semantic Web
Isabelle Augenstein, Diana Maynard, Fabio Ciravegna
2016 B conf
Monolingual Social Media Datasets for Detecting Contradiction and Entailment.
LREC
Piroska Lendvai, Isabelle Augenstein, Kalina Bontcheva, Thierry Declerck
2016 — book
Natural Language Processing for the Semantic Web
Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
2016 A* conf
Numerically Grounded Language Models for Semantic Error Correction.
EMNLP
Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel
2016 J jnl
Numerically Grounded Language Models for Semantic Error Correction.
CoRR
Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel
2016 A* conf
Stance Detection with Bidirectional Conditional Encoding.
EMNLP
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva
2016 J jnl
Stance Detection with Bidirectional Conditional Encoding.
CoRR
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva
2016 — conf
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders.
SemEval@NAACL-HLT
Isabelle Augenstein, Andreas Vlachos, Kalina Bontcheva
2016 — —
Web relation extraction with distant supervision.
Isabelle Augenstein
2016 — conf
emoji2vec: Learning Emoji Representations from their Description.
SocialNLP@EMNLP
Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel
2016 J jnl
emoji2vec: Learning Emoji Representations from their Description.
CoRR
Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel
2015 A* conf
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning.
EMNLP
Isabelle Augenstein, Andreas Vlachos, Diana Maynard
2015 — conf
USFD: Twitter NER with Drift Compensation and Linked Data.
NUT@IJCNLP
Leon Derczynski, Isabelle Augenstein, Kalina Bontcheva
2015 J jnl
USFD: Twitter NER with Drift Compensation and Linked Data.
CoRR
Leon Derczynski, Isabelle Augenstein, Kalina Bontcheva
2014 J jnl
"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.
Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein
2014 — conf
Joint Information Extraction from the Web Using Linked Data.
ISWC (2)
Isabelle Augenstein
2014 B conf
Relation Extraction from the Web Using Distant Supervision.
EKAW
Isabelle Augenstein, Diana Maynard, Fabio Ciravegna
2014 — conf
Seed Selection for Distantly Supervised Web-Based Relation Extraction.
SWAIE@COLING
Isabelle Augenstein
2013 — conf
Mapping Keywords to Linked Data Resources for Automatic Query Expansion.
KNOW@LOD
Isabelle Augenstein, Anna Lisa Gentile, Barry Norton, Ziqi Zhang, Fabio Ciravegna
2013 — conf
Mapping Keywords to Linked Data Resources for Automatic Query Expansion.
ESWC (Satellite Events)
Isabelle Augenstein, Anna Lisa Gentile, Barry Norton, Ziqi Zhang, Fabio Ciravegna
2013 — conf
Mining Equivalent Relations from Linked Data.
ACL (2)
Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein, Eva Blomqvist, Fabio Ciravegna
2013 — conf
Statistical Knowledge Patterns for Characterising Linked Data.
WOP
Eva Blomqvist, Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein, Fabio Ciravegna
2013 — conf
Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets.
ISWC (1)
Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, Fabio Ciravegna
2013 B conf
Unsupervised wrapper induction using linked data.
K-CAP
Anna Lisa Gentile, Ziqi Zhang, Isabelle Augenstein, Fabio Ciravegna
2012 B conf
LODifier: Generating Linked Data from Unstructured Text.
ESWC
Isabelle Augenstein, Sebastian Padó, Sebastian Rudolph