Pontus Stenetorp

According to our database, Pontus Stenetorp authored at least 73 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Aremu Anuoluwapo, Jessica Ojo, Shamsuddeen Hassan Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Abdi Mohamed, Ayinde Hassan, Oluwabusayo Olufunke Awoyomi, Lama Alkhaled, Sana Sabah Al-Azzawi, Naome A. Etori, Millicent Ochieng, Clemencia Siro, Samuel Njoroge, Eric Muchiri, Wangari Kimotho, Lyse Naomi Wamba Momo, Daud Abolade, Simbiat Ajao, Tosin P. Adewumi, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Nasir Iro, Saheed S. Abdullahi, Stephen E. Moore, Bernard Opoku, Zainab Akinjobi, Afolabi Abeeb, Nnaemeka C. Obiefuna, Onyekachi Raphael Ogbu, Sam Brian, Verrah Akinyi Otiende, Chinedu Emmanuel Mbonu, Sakayo Toadoum Sari, Pontus Stenetorp

CoRR, 2023

Prompt Optimisation with Random Sampling.

Yao Lu, Jiayi Wang, Sebastian Riedel, Pontus Stenetorp

CoRR, 2023

How good are Large Language Models on African Languages?

Jessica Ojo, Kelechi Ogueji, Pontus Stenetorp, David Ifeoluwa Adelani

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

Gender-specific Machine Translation with Large Language Models.

Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, Marta R. Costa-jussà

CoRR, 2023

Improving Language Plasticity via Pretraining with Active Forgetting.

Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe

CoRR, 2023

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

Jiayi Wang, Ke Wang, Yuqi Zhang, Yu Zhao, 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, Blessing K. Sibanda, Davis David, Lolwethu Ndolela, Jonathan Mukiibi, Tunde Oluwaseyi Ajayi, Tatiana Moteu Ngoli, Brian Odhiambo, Abraham Toluwase Owodunni, Nnaemeka C. Obiefuna, Shamsuddeen Hassan Muhammad, Saheed Abdullahi Salahudeen, Mesay Gemeda Yigezu, Tajuddeen Gwadabe, Idris Abdulmumin, Mahlet Taye Bame, Oluwabusayo Olufunke Awoyomi, Iyanuoluwa Shode, Tolulope Anu Adelani, Habiba Abdulganiy Kailani, Abdul-Hakeem Omotayo, Adetola Adeeko, Afolabi Abeeb, Aremu Anuoluwapo, Samuel Olanrewaju, Clemencia Siro, Wangari Kimotho, Onyekachi Raphael Ogbu, Chinedu E. Mbonu, Chiamaka Chukwuneke, Samuel Fanijo, Jessica Ojo, Oyinkansola Awosan, Tadesse Kebede Guge, Sakayo Toadoum Sari, Pamela Nyatsine, Freedmore Sidume, Oreen Yousuf, Mardiyyah Oduwole, Ussen Kimanuka, Kanda Patrick Tshinu, Thina Diko, Siyanda Nxakama, Abdulmejid Tuni Johar, Sinodos Gebre, Muhidin Mohamed, Shafie Abdi Mohamed, Fuad Mire Hassan, Moges Ahmed Mehamed, Evrard Ngabire, Pontus Stenetorp

CoRR, 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 O. Alabi, Atnafu Lambebo Tonja, Christine Mwase, Odunayo Ogundepo, Bonaventure F. P. Dossou, Akintunde Oladipo, Doreen Nixdorf, Chris Chinenye Emezue, Sana Sabah Al-Azzawi, Blessing K. Sibanda, Davis David, Lolwethu Ndolela, Jonathan Mukiibi, Tunde Ajayi, Tatiana Moteu Ngoli, Brian Odhiambo, Abraham Toluwase Owodunni, Nnaemeka C. Obiefuna, Muhidin Mohamed, Shamsuddeen Hassan Muhammad, Teshome Mulugeta Ababu, Saheed Abdullahi Salahudeen, Mesay Gemeda Yigezu, Tajuddeen Gwadabe, Idris Abdulmumin, Mahlet Taye Bame, Oluwabusayo Olufunke Awoyomi, Iyanuoluwa Shode, Tolulope Anu Adelani, Habiba Abdulganiyu, Abdul-Hakeem Omotayo, Adetola Adeeko, Afolabi Abeeb, Aremu Anuoluwapo, Samuel Olanrewaju, Clemencia Siro, Wangari Kimotho, Onyekachi Raphael Ogbu, Chinedu E. Mbonu, Chiamaka Chukwuneke, Samuel Fanijo, Jessica Ojo, Oyinkansola Awosan, Tadesse Kebede Guge, Sakayo Toadoum Sari, Pamela Nyatsine, Freedmore Sidume, Oreen Yousuf, Mardiyyah Oduwole, Kanda Patrick Tshinu, Ussen Kimanuka, Thina Diko, Siyanda Nxakama, Sinodos G. Nugussie, Abdulmejid Tuni Johar, Shafie Abdi Mohamed, Fuad Mire Hassan, Moges Ahmed Mehamed, Evrard Ngabire, Jules Jules, Ivan Ssenkungu, Pontus Stenetorp

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.

Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture

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.

Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp

CoRR, 2022

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

Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

CoRR, 2022

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

Saadullah Amin, Pasquale Minervini, David Chang, Günter Neumann, Pontus Stenetorp

CoRR, 2022

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.

Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

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.

Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants.

Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela

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.

Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks.

Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction.

Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Guenter Neumann

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets.

Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi

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.

Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp

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.

Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

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.

Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel

Trans. Assoc. Comput. Linguistics, 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, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

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.

Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation.

Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Benchmarking Machine Reading Comprehension: A Psychological Perspective.

Saku Sugawara, Pontus Stenetorp, Akiko Aizawa

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.

Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

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.

Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel

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.

Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini

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.

Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints.

Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

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.

Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong

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.

Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp

Trans. Assoc. Comput. Linguistics, 2020

Prerequisites for Explainable Machine Reading Comprehension: A Position Paper.

Saku Sugawara, Pontus Stenetorp, Akiko Aizawa

CoRR, 2020

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

Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Learning Reasoning Strategies in End-to-End Differentiable Proving.

Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

Proceedings of the 37th International Conference on Machine Learning, 2020

Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering.

Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Undersensitivity in Neural Reading Comprehension.

Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

AxCell: Automatic Extraction of Results from Machine Learning Papers.

Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic

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.

Naoya Inoue, Pontus Stenetorp, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets.

Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Naoya Inoue, Pontus Stenetorp, Kentaro Inui

CoRR, 2019

Towards Machine-assisted Meta-Studies: The Hubble Constant.

Tom Crossland, Pontus Stenetorp, Sebastian Riedel, Daisuke Kawata, Thomas D. Kitching, Rupert Croft

CoRR, 2019

2018

Constructing Datasets for Multi-hop Reading Comprehension Across Documents.

Johannes Welbl, Pontus Stenetorp, Sebastian Riedel

Trans. Assoc. Comput. Linguistics, 2018

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

Spiros C. Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard J. B. Dobson, Harry Hemingway

CoRR, 2018

On the Importance of Strong Baselines in Bayesian Deep Learning.

Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal

CoRR, 2018

Extrapolation in NLP.

Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

CoRR, 2018

Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection.

Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Jack the Reader - A Machine Reading Framework.

Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

Convolutional 2D Knowledge Graph Embeddings.

Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Neural Architectures for Fine-grained Entity Type Classification.

Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Learning to Reason With Adaptive Computation.

Mark Neumann, Pontus Stenetorp, Sebastian Riedel

CoRR, 2016

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

Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel

CoRR, 2016

Defining Words with Words: Beyond the Distributional Hypothesis.

Iuliana-Elena Parasca, Andreas Lukas Rauter, Jack Roper, Aleksandar Rusinov, Guillaume Bouchard, Sebastian Riedel, Pontus Stenetorp

Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Learning to Generate Textual Data.

Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

An Attentive Neural Architecture for Fine-grained Entity Type Classification.

Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel

Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

2015

Leveraging Monolingual Data for Crosslingual Compositional Word Representations.

Hubert Soyer, Pontus Stenetorp, Akiko Aizawa

Proceedings of the 3rd International Conference on Learning Representations, 2015

CroVeWA: Crosslingual Vector-Based Writing Assistance.

Hubert Soyer, Goran Topic, Pontus Stenetorp, Akiko Aizawa

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.

Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Sharing annotations better: RESTful Open Annotation.

Sampo Pyysalo, Jorge Campos, Juan Miguel Cejuela, Filip Ginter, Kai Hakala, Chen Li, Pontus Stenetorp, Lars Juhl Jensen

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.

Pontus Stenetorp, Sampo Pyysalo, Sophia Ananiadou, Jun'ichi Tsujii

J. Biomed. Semant., 2014

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.

Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

BioNLP Shared Task 2013: Supporting Resources.

Pontus Stenetorp, Wiktoria Golik, Thierry Hamon, Donald C. Comeau, Rezarta Islamaj Dogan, Haibin Liu, W. John Wilbur

Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

2012

brat: a Web-based Tool for NLP-Assisted Text Annotation.

Pontus Stenetorp, Sampo Pyysalo, Goran Topic, Tomoko Ohta, Sophia Ananiadou, Jun'ichi Tsujii

Proceedings of the EACL 2012, 2012

New Resources and Perspectives for Biomedical Event Extraction.

Sampo Pyysalo, Pontus Stenetorp, Tomoko Ohta, Jin-Dong Kim, Sophia Ananiadou

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.

Pontus Stenetorp, Sampo Pyysalo, Tomoko Ohta, Sophia Ananiadou, Jun'ichi Tsujii

Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012

2011

BioNLP Shared Task 2011: Supporting Resources.

Pontus Stenetorp, Goran Topic, Sampo Pyysalo, Tomoko Ohta, Jin-Dong Kim, Jun'ichi Tsujii

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.

Pontus Stenetorp, Sampo Pyysalo, Jun'ichi Tsujii

Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, 2011

2009

Evaluating Cases in Legal Disputes as Rival Theories.

Pontus Stenetorp, Jason Jingshi Li

Proceedings of the New Frontiers in Artificial Intelligence, 2009

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

Proceedings of the ACL 2009, 2009