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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models. - Madaan, Lovish; Esiobu, David; Stenetorp, Pontus; Plank, Barbara; Hupkes, Dieuwke (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Challenges in Generalization in Open Domain Question Answering. - Liu, Linqing; Lewis, Patrick S. H.; Riedel, Sebastian; Stenetorp, Pontus (2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Min, Sewon; Boyd-Graber, Jordan L.; Alberti, Chris; Chen, Danqi; Choi, Eunsol; Collins, Michael; Guu, Kelvin; Hajishirzi, Hannaneh; Lee, Kenton; Palomaki, Jennimaria; Raffel, Colin; Roberts, Adam; et al. (CoRR, 2021)

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

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

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. - Lu, Yao; Bartolo, Max; Moore, Alastair; Riedel, Sebastian; Stenetorp, Pontus (CoRR, 2021)

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

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

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

Challenges in Generalization in Open Domain Question Answering. - Liu, Linqing; Lewis, Patrick S. H.; Riedel, Sebastian; Stenetorp, Pontus (CoRR, 2021)

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

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

Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. - Jeffares, Alan; Guo, Qinghai; Stenetorp, Pontus; Moraitis, Timoleon (CoRR, 2021)

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. - Bartolo, Max; Thrush, Tristan; Riedel, Sebastian; Stenetorp, Pontus; Jia, Robin; Kiela, Douwe (CoRR, 2021)

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

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

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

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

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

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

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

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

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

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

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

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

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. - Mozes, Maximilian; Stenetorp, Pontus; Kleinberg, Bennett; Griffin, Lewis D. (CoRR, 2020)

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

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

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. - Lewis, Patrick S. H.; Stenetorp, Pontus; Riedel, Sebastian (CoRR, 2020)

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

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

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

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. - Sugawara, Saku; Stenetorp, Pontus; Inui, Kentaro; Aizawa, Akiko (CoRR, 2019)

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

Convolutional 2D Knowledge Graph Embeddings. - Dettmers, Tim; Minervini, Pasquale; Stenetorp, Pontus; Riedel, Sebastian (2018)

Jack the Reader - A Machine Reading Framework. - Weissenborn, Dirk; Minervini, Pasquale; Augenstein, Isabelle; Welbl, Johannes; Rocktäschel, Tim; Bosnjak, Matko; Mitchell, Jeff; Demeester, Thomas; Dettmers, Tim; Stenetorp, Pontus; Riedel, Sebastian (2018)

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

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

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

Jack the Reader - A Machine Reading Framework. - Weissenborn, Dirk; Minervini, Pasquale; Dettmers, Tim; Augenstein, Isabelle; Welbl, Johannes; Rocktäschel, Tim; Bosnjak, Matko; Mitchell, Jeff; Demeester, Thomas; Stenetorp, Pontus; Riedel, Sebastian (CoRR, 2018)

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

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

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

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

Convolutional 2D Knowledge Graph Embeddings. - Dettmers, Tim; Minervini, Pasquale; Stenetorp, Pontus; Riedel, Sebastian (CoRR, 2017)

Constructing Datasets for Multi-hop Reading Comprehension Across Documents. - Welbl, Johannes; Stenetorp, Pontus; Riedel, Sebastian (CoRR, 2017)

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

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

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

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

Neural Architectures for Fine-grained Entity Type Classification. - Shimaoka, Sonse; Stenetorp, Pontus; Inui, Kentaro; Riedel, Sebastian (CoRR, 2016)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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