Pontus Stenetorp

According to our database1, Pontus Stenetorp authored at least 79 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles.
CoRR, 2024

Quantifying Variance in Evaluation Benchmarks.
CoRR, 2024

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation.
CoRR, 2024

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.
CoRR, 2024

Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.
CoRR, 2024

2023
AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages.
CoRR, 2023

Prompt Optimisation with Random Sampling.
CoRR, 2023

How good are Large Language Models on African Languages?
CoRR, 2023

Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.
CoRR, 2023

Gender-specific Machine Translation with Large Language Models.
CoRR, 2023

Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation.
CoRR, 2023

MasakhaNEWS: News Topic Classification for African languages.
CoRR, 2023

Graph Attention with Hierarchies for Multi-hop Question Answering.
CoRR, 2023

Improving Language Plasticity via Pretraining with Active Forgetting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MasakhaNEWS: News Topic Classification for African languages.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

What the DAAM: Interpreting Stable Diffusion Using Cross Attention.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Query Expansion Using Contextual Clue Sampling with Language Models.
CoRR, 2022

ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.
CoRR, 2022

MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction.
CoRR, 2022

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Challenges in Generalization in Open Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Spike-inspired rank coding for fast and accurate recurrent neural networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Learning Reasoning Strategies in End-to-End Differentiable Proving.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.
Trans. Assoc. Comput. Linguistics, 2021

Dynabench: Rethinking Benchmarking in NLP.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Benchmarking Machine Reading Comprehension: A Psychological Perspective.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Controllable Abstractive Dialogue Summarization with Sketch Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension.
Trans. Assoc. Comput. Linguistics, 2020

Prerequisites for Explainable Machine Reading Comprehension: A Position Paper.
CoRR, 2020

Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension.
CoRR, 2020


Learning Reasoning Strategies in End-to-End Differentiable Proving.
Proceedings of the 37th International Conference on Machine Learning, 2020

Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Undersensitivity in Neural Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

AxCell: Automatic Extraction of Results from Machine Learning Papers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension.
CoRR, 2019

Towards Machine-assisted Meta-Studies: The Hubble Constant.
CoRR, 2019

2018
Constructing Datasets for Multi-hop Reading Comprehension Across Documents.
Trans. Assoc. Comput. Linguistics, 2018

Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data.
CoRR, 2018

On the Importance of Strong Baselines in Bayesian Deep Learning.
CoRR, 2018

Extrapolation in NLP.
CoRR, 2018

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF).
Proceedings of the First Workshop on Fact Extraction and VERification, 2018

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

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

Convolutional 2D Knowledge Graph Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Neural Architectures for Fine-grained Entity Type Classification.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Learning to Reason With Adaptive Computation.
CoRR, 2016

Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies.
CoRR, 2016

Defining Words with Words: Beyond the Distributional Hypothesis.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Learning to Generate Textual Data.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

An Attentive Neural Architecture for Fine-grained Entity Type Classification.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015
Leveraging Monolingual Data for Crosslingual Compositional Word Representations.
Proceedings of the 3rd International Conference on Learning Representations, 2015

CroVeWA: Crosslingual Vector-Based Writing Assistance.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Sharing annotations better: RESTful Open Annotation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Generalising semantic category disambiguation with large lexical resources for fun and profit.
J. Biomed. Semant., 2014

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
BioNLP Shared Task 2013: Supporting Resources.
Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

2012
brat: a Web-based Tool for NLP-Assisted Text Annotation.
Proceedings of the EACL 2012, 2012

New Resources and Perspectives for Biomedical Event Extraction.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

Bridging the Gap Between Scope-based and Event-based Negation/Speculation Annotations: A Bridge Not Too Far.
Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012

2011
BioNLP Shared Task 2011: Supporting Resources.
Proceedings of BioNLP Shared Task 2011 Workshop, Portland, Oregon, USA, June 24, 2011, 2011

SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation.
Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, 2011

2009
Evaluating Cases in Legal Disputes as Rival Theories.
Proceedings of the New Frontiers in Artificial Intelligence, 2009

A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers.
Proceedings of the ACL 2009, 2009


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