NLPExplorer

Isabelle Augenstein

Number of Papers:- 89

Number of Citations:- 88

First ACL Paper:- 2013

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

BlackboxNLP

COLING

SIGTYP

EMNLP

sdp

Findings

SocialNLP

WNUT

LREC

TACL

DistCurate

ACL

EACL

RepL4NLP

*SEMEVAL

EAMT

IJCNLP

*SEM

SWAIE

Co-Authors:-

Aditi Chaudhary

Aditya Pillai

Albert Gatt

Aleksandr Rubashevskii

Alexander Miserlis Hoyle

Similar Authors:-

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

Erik Arakelyan | Zhaoqi Liu | Isabelle Augenstein |

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

Haeun Yu | Pepa Atanasova | Isabelle Augenstein |

Investigating the Impact of Model Instability on Explanations and Uncertainty F i n d i n g s - A C L

Sara Marjanovic | Isabelle Augenstein | Christina Lioma |

Understanding Fine-grained Distortions in Reports of Scientific Findings F i n d i n g s - A C L

Amelie Wuehrl | Dustin Wright | Roman Klinger | Isabelle Augenstein |

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

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models F i n d i n g s - E M N L P

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models F i n d i n g s - E M N L P

Can Transformers Learn n-gram Language Models? EMNLP

Social Bias Probing: Fairness Benchmarking for Language Models EMNLP

Marta Marchiori Manerba | Karolina Stanczak | Riccardo Guidotti | Isabelle Augenstein |

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers F i n d i n g s - E M N L P

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics EACL

Andreas Vlachos | Isabelle Augenstein |

Findings of the Association for Computational Linguistics: EACL 2023 F i n d i n g s - E A C L

Andreas Vlachos | Isabelle Augenstein |

PHD: Pixel-Based Language Modeling of Historical Documents EMNLP

Nadav Borenstein | Phillip Rust | Desmond Elliott | Isabelle Augenstein |

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

Measuring Intersectional Biases in Historical Documents F i n d i n g s - A C L

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing F i n d i n g s - E M N L P

Lucie-Aimée Kaffee | Arnav Arora | Zeerak Talat | Isabelle Augenstein |

Faithfulness Tests for Natural Language Explanations ACL

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

Lucie-Aimée Kaffee | Arnav Arora | Isabelle Augenstein |

Explaining Interactions Between Text Spans EMNLP

Sagnik Ray Choudhury | Pepa Atanasova | Isabelle Augenstein |

Multilingual Event Extraction from Historical Newspaper Adverts ACL

Nadav Borenstein | Natália da Silva Perez | Isabelle Augenstein |

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

Erik Arakelyan | Arnav Arora | Isabelle Augenstein |

Generating Scientific Claims for Zero-Shot Scientific Fact Checking ACL

Proceedings of the 7th Workshop on Representation Learning for NLP ACL RepL4NLP

A Neighborhood Framework for Resource-Lean Content Flagging TACL

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation EAMT

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

Multi-sense Language Modelling DistCurate NAACL

Andrea Lekkas | Peter Schneider-Kamp | Isabelle Augenstein |

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

Momchil Hardalov | Arnav Arora | Preslav Nakov | Isabelle Augenstein |

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

Indira Sen | Mattia Samory | Claudia Wagner | Isabelle Augenstein |

Fact Checking with Insufficient Evidence TACL

Pepa Atanasova | Jakob Grue Simonsen | Christina Lioma | Isabelle Augenstein |

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

Sagnik Ray Choudhury | Nikita Bhutani | Isabelle Augenstein |

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

Sagnik Ray Choudhury | Anna Rogers | Isabelle Augenstein |

Modeling Information Change in Science Communication with Semantically Matched Paraphrases EMNLP

Dustin Wright | Jiaxin Pei | David Jurgens | Isabelle Augenstein |

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings EMNLP

Does Typological Blinding Impede Cross-Lingual Sharing? EACL

Johannes Bjerva | Isabelle Augenstein |

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts EACL

Isabelle Augenstein | Ivan Habernal |

Determining the Credibility of Science Communication NAACL sdp

Isabelle Augenstein |

Cross-Domain Label-Adaptive Stance Detection EMNLP

Momchil Hardalov | Arnav Arora | Preslav Nakov | Isabelle Augenstein |

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding Findings

Dustin Wright | Isabelle Augenstein |

Is Sparse Attention more Interpretable? ACL IJCNLP

Clara Meister | Stefan Lazov | Isabelle Augenstein | Ryan Cotterell |

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

Inducing Language-Agnostic Multilingual Representations *SEM ACL IJCNLP

Wei Zhao | Steffen Eger | Johannes Bjerva | Isabelle Augenstein |

Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP

Dustin Wright | Isabelle Augenstein |

Generating Fact Checking Explanations ACL

Pepa Atanasova | Jakob Grue Simonsen | Christina Lioma | Isabelle Augenstein |

2kenize: Tying Subword Sequences for Chinese Script Conversion ACL

Pranav A | Isabelle Augenstein |

Generating Label Cohesive and Well-Formed Adversarial Claims EMNLP

Pepa Atanasova | Dustin Wright | Isabelle Augenstein |

A Diagnostic Study of Explainability Techniques for Text Classification EMNLP

Pepa Atanasova | Jakob Grue Simonsen | Christina Lioma | Isabelle Augenstein |

SubjQA: A Dataset for Subjectivity and Review Comprehension EMNLP

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

Anna Rogers | Isabelle Augenstein |

Zero-Shot Cross-Lingual Transfer with Meta Learning EMNLP

Farhad Nooralahzadeh | Giannis Bekoulis | Johannes Bjerva | Isabelle Augenstein |

Transformer Based Multi-Source Domain Adaptation EMNLP

Dustin Wright | Isabelle Augenstein |

Unsupervised Evaluation for Question Answering with Transformers BlackboxNLP EMNLP

Lukas Muttenthaler | Isabelle Augenstein | Johannes Bjerva |

Claim Check-Worthiness Detection as Positive Unlabelled Learning EMNLP Findings

Dustin Wright | Isabelle Augenstein |

SIGTYP 2020 Shared Task: Prediction of Typological Features EMNLP SIGTYP

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

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

Mareike Hartmann | Yevgeniy Golovchenko | Isabelle Augenstein |

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

Johannes Bjerva | Katharina Kann | Isabelle Augenstein |

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

Combining Sentiment Lexica with a Multi-View Variational Autoencoder NAACL

Issue Framing in Online Discussion Fora NAACL

Mareike Hartmann | Tallulah Jansen | Isabelle Augenstein | Anders Søgaard |

A Probabilistic Generative Model of Linguistic Typology NAACL

Johannes Bjerva | Yova Kementchedjhieva | Ryan Cotterell | Isabelle Augenstein |

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling ACL

Uncovering Probabilistic Implications in Typological Knowledge Bases ACL

Johannes Bjerva | Yova Kementchedjhieva | Ryan Cotterell | Isabelle Augenstein |

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

What Do Language Representations Really Represent? CL

A strong baseline for question relevancy ranking EMNLP

Ana Gonzalez | Isabelle Augenstein | Anders Søgaard |

Parameter sharing between dependency parsers for related languages EMNLP

Miryam de Lhoneux | Johannes Bjerva | Isabelle Augenstein | Anders Søgaard |

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

Yova Kementchedjhieva | Johannes Bjerva | Isabelle Augenstein |

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

Johannes Bjerva | Isabelle Augenstein |

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

Isabelle Augenstein | Sebastian Ruder | Anders Søgaard |

Jack the Reader – A Machine Reading Framework ACL

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

Thomas Nyegaard-Signori | Casper Veistrup Helms | Johannes Bjerva | Isabelle Augenstein |

Tracking Typological Traits of Uralic Languages in Distributed Language Representations WS

Johannes Bjerva | Isabelle Augenstein |

Proceedings of The Third Workshop on Representation Learning for NLP ACL WS

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

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

Anders Søgaard | Miryam de Lhoneux | Isabelle Augenstein |

A Supervised Approach to Extractive Summarisation of Scientific Papers CoNLL

Ed Collins | Isabelle Augenstein | Sebastian Riedel |

Multi-Task Learning of Keyphrase Boundary Classification ACL

Isabelle Augenstein | Anders Søgaard |

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

Elena Kochkina | Maria Liakata | Isabelle Augenstein |

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

Stance Detection with Bidirectional Conditional Encoding EMNLP

Isabelle Augenstein | Tim Rocktäschel | Andreas Vlachos | Kalina Bontcheva |

Numerically Grounded Language Models for Semantic Error Correction EMNLP

Georgios Spithourakis | Isabelle Augenstein | Sebastian Riedel |

Monolingual Social Media Datasets for Detecting Contradiction and Entailment LREC

Piroska Lendvai | Isabelle Augenstein | Kalina Bontcheva | Thierry Declerck |

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

Isabelle Augenstein | Andreas Vlachos | Kalina Bontcheva |

emoji2vec: Learning Emoji Representations from their Description SocialNLP WS

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

Isabelle Augenstein | Andreas Vlachos | Diana Maynard |

USFD: Twitter NER with Drift Compensation and Linked Data WNUT WS

Leon Derczynski | Isabelle Augenstein | Kalina Bontcheva |

Seed Selection for Distantly Supervised Web-Based Relation Extraction SWAIE WS

Isabelle Augenstein |

Mining Equivalent Relations from Linked Data ACL