A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers. - Han-Cheol Cho; Do-Gil Lee; Jung-Tae Lee; Pontus Stenetorp; Jun'ichi Tsujii; Hae-Chang Rim (ACL/IJCNLP (2), 2009)

Evaluating Cases in Legal Disputes as Rival Theories. - Pontus Stenetorp; Jason Jingshi Li (JSAI-isAI Workshops, 2009)

SimSem: Fast Approximate String Matching in Relation to Semantic Category Disambiguation. - Pontus Stenetorp; Sampo Pyysalo; Jun'ichi Tsujii (BioNLP@ACL, 2011)

BioNLP Shared Task 2011: Supporting Resources. - Pontus Stenetorp; Goran Topic; Sampo Pyysalo; Tomoko Ohta; Jin-Dong Kim; Jun'ichi Tsujii (BioNLP@ACL (Shared Task), 2011)

Bridging the Gap Between Scope-based and Event-based Negation/Speculation Annotations: A Bridge Not Too Far. - Pontus Stenetorp; Sampo Pyysalo; Tomoko Ohta; Sophia Ananiadou; Jun'ichi Tsujii (ExProM@ACL, 2012)

New Resources and Perspectives for Biomedical Event Extraction. - Sampo Pyysalo; Pontus Stenetorp; Tomoko Ohta; Jin-Dong Kim; Sophia Ananiadou (BioNLP@HLT-NAACL, 2012)

brat: a Web-based Tool for NLP-Assisted Text Annotation. - Pontus Stenetorp; Sampo Pyysalo; Goran Topic; Tomoko Ohta; Sophia Ananiadou; Jun'ichi Tsujii (EACL, 2012)

BioNLP Shared Task 2013: Supporting Resources. - Pontus Stenetorp; Wiktoria Golik; Thierry Hamon; Donald C. Comeau; Rezarta Islamaj Dogan; Haibin Liu; W. John Wilbur (BioNLP@ACL (Shared Task), 2013)

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures. - Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka (EMNLP, 2014)

Generalising semantic category disambiguation with large lexical resources for fun and profit. - Pontus Stenetorp; Sampo Pyysalo; Sophia Ananiadou; Jun'ichi Tsujii (J. Biomed. Semant., 2014)

Sharing annotations better: RESTful Open Annotation. - Sampo Pyysalo; Jorge Campos; Juan Miguel Cejuela; Filip Ginter; Kai Hakala; Chen Li; Pontus Stenetorp; Lars Juhl Jensen (ACL (System Demonstrations), 2015)

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. - Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka (CoNLL, 2015)

CroVeWA: Crosslingual Vector-Based Writing Assistance. - Hubert Soyer; Goran Topic; Pontus Stenetorp; Akiko Aizawa (HLT-NAACL, 2015)

Leveraging Monolingual Data for Crosslingual Compositional Word Representations. - Hubert Soyer; Pontus Stenetorp; Akiko Aizawa (ICLR (Poster), 2015)

An Attentive Neural Architecture for Fine-grained Entity Type Classification. - Sonse Shimaoka; Pontus Stenetorp; Kentaro Inui; Sebastian Riedel 001 (AKBC@NAACL-HLT, 2016)

Learning to Generate Textual Data. - Guillaume Bouchard; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2016)

Defining Words with Words: Beyond the Distributional Hypothesis. - Iuliana-Elena Parasca; Andreas Lukas Rauter; Jack Roper; Aleksandar Rusinov; Guillaume Bouchard; Sebastian Riedel 001; Pontus Stenetorp (RepEval@ACL, 2016)

Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies. - Jonathan Godwin; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2016)

Learning to Reason With Adaptive Computation. - Mark Neumann; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2016)

Neural Architectures for Fine-grained Entity Type Classification. - Sonse Shimaoka; Pontus Stenetorp; Kentaro Inui; Sebastian Riedel 001 (EACL (1), 2017)

Convolutional 2D Knowledge Graph Embeddings. - Tim Dettmers; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (AAAI, 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)

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. - Sudhanshu Kasewa; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2018)

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). - Takuma Yoneda; Jeff Mitchell 001; Johannes Welbl; Pontus Stenetorp; Sebastian Riedel 001 (FEVER@EMNLP, 2018)

Extrapolation in NLP. - Jeff Mitchell 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2018)

On the Importance of Strong Baselines in Bayesian Deep Learning. - Jishnu Mukhoti; Pontus Stenetorp; Yarin Gal (CoRR, 2018)

Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. - Spiros C. Denaxas; Pontus Stenetorp; Sebastian Riedel 001; Maria Pikoula; Richard J. B. Dobson; Harry Hemingway (CoRR, 2018)

Constructing Datasets for Multi-hop Reading Comprehension Across Documents. - Johannes Welbl; Pontus Stenetorp; Sebastian Riedel 001 (Trans. Assoc. Comput. Linguistics, 2018)

Towards Machine-assisted Meta-Studies: The Hubble Constant. - Tom Crossland; Pontus Stenetorp; Sebastian Riedel 001; Daisuke Kawata; Thomas D. Kitching; Rupert Croft (CoRR, 2019)

RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension. - Naoya Inoue; Pontus Stenetorp; Kentaro Inui (CoRR, 2019)

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. - Saku Sugawara; Pontus Stenetorp; Kentaro Inui; Akiko Aizawa (AAAI, 2020)

R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason. - Naoya Inoue; Pontus Stenetorp; Kentaro Inui (ACL, 2020)

AxCell: Automatic Extraction of Results from Machine Learning Papers. - Marcin Kardas; Piotr Czapla; Pontus Stenetorp; Sebastian Ruder; Sebastian Riedel 001; Ross Taylor; Robert Stojnic (EMNLP (1), 2020)

Undersensitivity in Neural Reading Comprehension. - Johannes Welbl; Pasquale Minervini; Max Bartolo; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP (Findings), 2020)

Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. - Yuxiang Wu; Sebastian Riedel 001; Pasquale Minervini; Pontus Stenetorp (EMNLP (1), 2020)

Learning Reasoning Strategies in End-to-End Differentiable Proving. - Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp; Edward Grefenstette; Tim Rocktäschel (ICML, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. - Max Bartolo; Alastair Roberts; Johannes Welbl; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2020)

Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. - Saku Sugawara; Pontus Stenetorp; Akiko Aizawa (CoRR, 2020)

Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. - Max Bartolo; Alastair Roberts; Johannes Welbl; Sebastian Riedel 001; Pontus Stenetorp (Trans. Assoc. Comput. Linguistics, 2020)

Controllable Abstractive Dialogue Summarization with Sketch Supervision. - Chien-Sheng Wu; Linqing Liu; Wenhao Liu 003; Pontus Stenetorp; Caiming Xiong (ACL/IJCNLP (Findings), 2021)

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. - Yuxiang Wu; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (ACL/IJCNLP (2), 2021)

Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. - Yihong Chen; Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp (AKBC, 2021)

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. - Sameh K. Mohamed; Brian Walsh; Mohan Timilsina; Vít Novácek; Maria Torrente; Fabio Franco; Mariano Provencio; Adrianna Janik; Luca Costabello; Pontus Stenetorp; Pasquale Minervini (AMIA, 2021)

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. - Patrick Lewis 001; Pontus Stenetorp; Sebastian Riedel 001 (EACL, 2021)

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. - Maximilian Mozes; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin (EACL, 2021)

Benchmarking Machine Reading Comprehension: A Psychological Perspective. - Saku Sugawara; Pontus Stenetorp; Akiko Aizawa (EACL, 2021)

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. - Max Bartolo; Tristan Thrush; Robin Jia; Sebastian Riedel 001; Pontus Stenetorp; Douwe Kiela (EMNLP (1), 2021)

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. - Maximilian Mozes; Max Bartolo; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin (EMNLP (1), 2021)

Dynabench: Rethinking Benchmarking in NLP. - Douwe Kiela; Max Bartolo; Yixin Nie; Divyansh Kaushik; Atticus Geiger; Zhengxuan Wu; Bertie Vidgen; Grusha Prasad; Amanpreet Singh; Pratik Ringshia; Zhiyi Ma; Tristan Thrush; et al. (NAACL-HLT, 2021)

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. - Patrick Lewis 001; Yuxiang Wu; Linqing Liu; Pasquale Minervini; Heinrich Küttler; Aleksandra Piktus; Pontus Stenetorp; Sebastian Riedel 001 (Trans. Assoc. Comput. Linguistics, 2021)

Learning Reasoning Strategies in End-to-End Differentiable Proving. - Pasquale Minervini; Sebastian Riedel 001; Pontus Stenetorp; Edward Grefenstette; Tim Rocktäschel (Neuro-Symbolic Artificial Intelligence, 2021)

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. - Yao Lu; Max Bartolo; Alastair Moore; Sebastian Riedel 001; Pontus Stenetorp (ACL (1), 2022)

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. - Yuxiang Wu; Matt Gardner 001; Pontus Stenetorp; Pradeep Dasigi (ACL (1), 2022)

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction. - Saadullah Amin; Pasquale Minervini; David Chang; Pontus Stenetorp; Guenter Neumann (COLING, 2022)

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. - Yuxiang Wu; Yu Zhao 043; Baotian Hu; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (EMNLP, 2022)

Spike-inspired rank coding for fast and accurate recurrent neural networks. - Alan Jeffares; Qinghai Guo; Pontus Stenetorp; Timoleon Moraitis (ICLR, 2022)

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. - Max Bartolo; Tristan Thrush; Sebastian Riedel 001; Pontus Stenetorp; Robin Jia; Douwe Kiela (NAACL-HLT, 2022)

Challenges in Generalization in Open Domain Question Answering. - Linqing Liu; Patrick Lewis 001; Sebastian Riedel 001; Pontus Stenetorp (NAACL-HLT (Findings), 2022)

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (NeurIPS, 2022)

MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction. - Saadullah Amin; Pasquale Minervini; David Chang; Günter Neumann; Pontus Stenetorp (CoRR, 2022)

ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2022)

Query Expansion Using Contextual Clue Sampling with Language Models. - Linqing Liu; Minghan Li 002; Jimmy Lin; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2022)

What the DAAM: Interpreting Stable Diffusion Using Cross Attention. - Raphael Tang; Linqing Liu; Akshat Pandey; Zhiying Jiang; Gefei Yang; Karun Kumar; Pontus Stenetorp; Jimmy Lin; Ferhan Ture (ACL (1), 2023)

MasakhaNEWS: News Topic Classification for African languages. - David Ifeoluwa Adelani; Marek Masiak; Israel Abebe Azime; Jesujoba O. Alabi; Atnafu Lambebo Tonja; Christine Mwase; Odunayo Ogundepo; Bonaventure F. P. Dossou; Akintunde Oladipo; Doreen Nixdorf; Chris Chinenye Emezue; Sana Sabah Al-Azzawi; et al. (IJCNLP (1), 2023)

Improving Language Plasticity via Pretraining with Active Forgetting. - Yihong Chen; Kelly Marchisio; Roberta Raileanu; David Ifeoluwa Adelani; Pontus Lars Erik Saito Stenetorp; Sebastian Riedel 001; Mikel Artetxe (NeurIPS, 2023)

Graph Attention with Hierarchies for Multi-hop Question Answering. - Yunjie He; Philip John Gorinski; Ieva Staliunaite; Pontus Stenetorp (CoRR, 2023)

MasakhaNEWS: News Topic Classification for African languages. - David Ifeoluwa Adelani; Marek Masiak; Israel Abebe Azime; Jesujoba Oluwadara Alabi; Atnafu Lambebo Tonja; Christine Mwase; Odunayo Ogundepo; Bonaventure F. P. Dossou; Akintunde Oladipo; Doreen Nixdorf; Chris Chinenye Emezue; Sana Sabah Al-Azzawi; et al. (CoRR, 2023)

Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation. - Jiayi Wang; Ke Wang; Yuqi Zhang; Yu Zhao 043; Pontus Stenetorp (CoRR, 2023)

Gender-specific Machine Translation with Large Language Models. - Eduardo Sánchez; Pierre Andrews; Pontus Stenetorp; Mikel Artetxe; Marta R. Costa-jussà (CoRR, 2023)

Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference. - Xuanli He; Yuxiang Wu; Oana-Maria Camburu; Pasquale Minervini; Pontus Stenetorp (CoRR, 2023)

How good are Large Language Models on African Languages? - Jessica Ojo; Kelechi Ogueji; Pontus Stenetorp; David Ifeoluwa Adelani (CoRR, 2023)

Prompt Optimisation with Random Sampling. - Yao Lu; Jiayi Wang; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2023)

AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages. - Jiayi Wang; David Ifeoluwa Adelani; Sweta Agrawal; Ricardo Rei; Eleftheria Briakou; Marine Carpuat; Marek Masiak; Xuanli He; Sofia Bourhim; Andiswa Bukula; Muhidin Mohamed; Temitayo Olatoye; et al. (CoRR, 2023)

Using Natural Language Explanations to Improve Robustness of In-context Learning. - Xuanli He; Yuxiang Wu; Oana-Maria Camburu; Pasquale Minervini; Pontus Stenetorp (ACL (1), 2024)

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models. - Kenza Benkirane; Laura Gongas; Shahar Pelles; Naomi Fuchs; Joshua Darmon; Pontus Stenetorp; David Ifeoluwa Adelani; Eduardo Sánchez (EMNLP (Findings), 2024)

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation. - Raphael Tang; Xinyu Zhang 018; Lixinyu Xu; Yao Lu; Wenyan Li 001; Pontus Stenetorp; Jimmy Lin; Ferhan Ture (EMNLP, 2024)

Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles. - Filip Trhlík; Pontus Stenetorp (EMNLP (Findings), 2024)

Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. - Yao Lu; Jiayi Wang; Raphael Tang; Sebastian Riedel 001; Pontus Stenetorp (NAACL-HLT, 2024)

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages. - Jiayi Wang; David Ifeoluwa Adelani; Sweta Agrawal; Marek Masiak; Ricardo Rei; Eleftheria Briakou; Marine Carpuat; Xuanli He; Sofia Bourhim; Andiswa Bukula; Muhidin Mohamed; Temitayo Olatoye; et al. (NAACL-HLT, 2024)

Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set). - Jiayi Wang; David Ifeoluwa Adelani; Pontus Stenetorp (WMT, 2024)

Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. - Xuanli He; Jun Wang; Qiongkai Xu; Pasquale Minervini; Pontus Stenetorp; Benjamin I. P. Rubinstein; Trevor Cohn (CoRR, 2024)

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. - David Ifeoluwa Adelani; Jessica Ojo; Israel Abebe Azime; Jian Yun Zhuang; Jesujoba O. Alabi; Xuanli He; Millicent Ochieng; Sara Hooker; Andiswa Bukula; En-Shiun Annie Lee; Chiamaka Chukwuneke; Happy Buzaaba; et al. (CoRR, 2024)

Quantifying Variance in Evaluation Benchmarks. - Lovish Madaan; Aaditya K. Singh; Rylan Schaeffer; Andrew Poulton; Sanmi Koyejo; Pontus Stenetorp; Sharan Narang; Dieuwke Hupkes (CoRR, 2024)

PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. - Xinchi Qiu; William F. Shen; Yihong Chen; Nicola Cancedda; Pontus Stenetorp; Nicholas D. Lane (CoRR, 2024)

Linguini: A benchmark for language-agnostic linguistic reasoning. - Eduardo Sánchez; Belen Alastruey; Christophe Ropers; Pontus Stenetorp; Mikel Artetxe; Marta R. Costa-jussà (CoRR, 2024)

Jet Expansions of Residual Computation. - Yihong Chen; Xiangxiang Xu; Yao Lu; Pontus Stenetorp; Luca Franceschi 001 (CoRR, 2024)

Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language. - Jiayi Wang; Yao Lu; Maurice Weber; Max Ryabinin; Yihong Chen; Raphael Tang; Pontus Stenetorp (CoRR, 2024)

TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. - Xuanli He; Jun Wang; Qiongkai Xu; Pasquale Minervini; Pontus Stenetorp; Benjamin I. P. Rubinstein; Trevor Cohn (ACL (Findings), 2025)

Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation. - Senyu Li; Zipeng Sun; Jiayi Wang; Xue Liu; Pontus Stenetorp; Siva Reddy; David Ifeoluwa Adelani (ACL (1), 2025)

AfroBench: How Good are Large Language Models on African Languages? - Jessica Ojo; Odunayo Ogundepo; Akintunde Oladipo; Kelechi Ogueji; Jimmy Lin; Pontus Stenetorp; David Ifeoluwa Adelani (ACL (Findings), 2025)

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. - David Ifeoluwa Adelani; Jessica Ojo; Israel Abebe Azime; Jian Yun Zhuang; Jesujoba Oluwadara Alabi; Xuanli He; Millicent Ochieng; Sara Hooker; Andiswa Bukula; En-Shiun Annie Lee; Chiamaka Ijeoma Chukwuneke; Happy Buzaaba; et al. (NAACL (Long Papers), 2025)

Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models. - Lovish Madaan; David Esiobu; Pontus Stenetorp; Barbara Plank; Dieuwke Hupkes (NAACL (Long Papers), 2025)

Multilingual Language Model Pretraining using Machine-translated Data. - Jiayi Wang; Yao Lu; Maurice Weber; Max Ryabinin; David Ifeoluwa Adelani; Yihong Chen; Raphael Tang; Pontus Stenetorp (CoRR, 2025)

SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? - Senyu Li; Jiayi Wang; Felermino D. M. A. Ali; Colin Cherry; Daniel Deutsch; Eleftheria Briakou; Rui Sousa-Silva; Henrique Lopes Cardoso; Pontus Stenetorp; David Ifeoluwa Adelani (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)