Hello, world!

Table of contents

• Research summary (subject-wise and sort of chronological, immediately underneath).
• Some (very old) software available for the sake of reproducibility further down on this page.
• Contact information (bottom).

Research summary

• Axel Nyström, Pontus Olsson de Capretz, Anders Björkelund, Jakob Lundager Forberg, Mattias Ohlsson, Jonas Björk, Ulf Ekelund. Prior electrocardiograms not use- ful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients. In Journal of Electrocardiology, 2024. [ScienceDirect].
• Max Olsson, Anders Björkelund, Jacob Sandberg, Anders Blomberg, Mats Börjesson, David Currow, Andrei Malinovschi, Magnus Sköld, Per Wollmer, Kjell Torén, Carl-Johan Östgren, Gunnar Engström, Magnus Ekström. Factors important for health-related quality of life in men and women: The population based SCAPIS study. In PLOS ONE, 2023. [PLOS ONE]
• Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokthari, Axel Nyström, Ulf Ekelund. Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. In BMC Medical Informatics and Decision Making, 2023. [BMC MIDP]
• Anders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, Arash Mokhtari, Pontus Olsson de Capretz, Ulf Ekelund, Jonas Björk. Machine Learning Compared with Rule- in/Rule-out Algorithms and Logistic Regression to Predict Acute My- ocardial Infarction Based on Troponin T Concentrations. In Journal of the American College of Emergency Physicians Open, 2021. [Wiley]

• Anders Björkelund. Online Learning of Latent Linguistic Structure with Approximate Search, 2019. Doctoral dissertation, University of Stuttgart. [UB Uni Stuttgart]
• Anders Björkelund, Agnieszka Faleńska, Wolfgang Seeker, and Jonas Kuhn. How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016. [ACL Anthology] [poster] [code]
• Anders Björkelund and Joakim Nivre. Non-Deterministic Oracles for Unrestricted Non-Projective Dependency Parsing. Proceedings of the 14th International Conference on Parsing Technologies, 2015. [ACL Anthology] [slides] [code]
• Agnieszka Faleńska, Anders Björkelund, Özlem Çetinoğlu, and Wolfgang Seeker. Stacking or Supertagging for Depdenency Parsing -- What's the difference? Proceedings of the 14th International Conference on Parsing Technologies, 2015. [ACL Anthology]
• Anders Björkelund and Jonas Kuhn. Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014. [ACL Anthology] [slides] [code]
• Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Hwee Tou Ng, Anders Björkelund, Olga Uryupina, Yuchen Zhang and Zhi Zhong. Towards Robust Linguistic Analysis using OntoNotes. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013. [ACL Anthology]
• Anders Björkelund, Özlem Çetinoğlu, Richárd Farkas, Thomas Müller and Wolfgang Seeker. (Re)ranking Meets Morphosyntax: State-of-the-art Results from the SPMRL 2013 Shared Task. In Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, 2013. [ACL Anthology] [slides] [poster]
• Anders Björkelund, Love Hafdell, and Pierre Nugues, Multilingual semantic role labeling. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL): Shared Task, 2009. [ACL Anthology] [slides] [poster] [code]

• Anders Björkelund, Jacek Malec, Klas Nilsson, Pierre Nugues, and Herman Bruyninckx. Knowledge for Intelligent Industrial Robots. In AAAI 2012 Spring Symposium on Designing Intelligent Robots: Reintegrating AI, 2012. [pdf]
• Anders Björkelund, Lisett Edström, Mathias Haage, Jacek Malec, Klas Nilsson, Pierre Nugues, Sven Gestegård Robertz, Denis Störkle, Anders Blomdell, Rolf Johansson, Magnus Linderoth, Anders Nilsson, Anders Robertsson, Andreas Stolt and Herman Bruyninkcx, On the Integration of Skilled Robot Motions for Productivity in Manufacturing. In Proceedings of IEEE International Symposium on Assembly in Manufacturing, 2011. [IEEE]
• Anders Björkelund, Jacek Malec, Klas Nilsson, and Pierre Nugues, Knowledge and Skill Representations for Robotized Production. In IFAC Proceedings, 2011. [ScienceDirect]
• Jacob Persson, Axel Gallois, Anders Björkelund, Love Hafdell, Mathias Haage, Jacek Malec, Klas Nilsson, and Pierre Nugues, A Knowledge Integration Framework for Robotics. In Proceedings of the joint conference of the 41st International Symposium on Robotics and the 6th German Conference on Robotics, 2010. [IEEE]

Open Source Software

• Dependency-based SRL system
  I built a system for dependency-based semantic role labeling during my master's thesis. A cleaned up version of the code is available on Google Code, along with Bernd Bohnet's dependency parsers. Note that as Google Code closed the code repositories were taken down. All that remains are some tar balls for download but they are nevertheless sufficient to access the code.

• Coreference Resolver -- old
  With Richárd Farkas I wrote up a coreference resolver for the CoNLL 2012 Shared Task (Björkelund and Farkas, 2012; download source code). I used the same system (with some modifcations) for the COLING 2012 paper Phrase-structures and Dependencies for End-to-End Coreference Resolution (Björkelund and Kuhn, 2012; download source code).

• Coreference Resolver -- (somewhat) newer
  In our ACL 2014 paper, Jonas Kuhn and I describe a coreference system based on latent antecedents and non-local features (Björkelund and Kuhn, 2014; download source code). It is clearly superior to the systems above, and obtained the best results at the time on all CoNLL 2012 Shared Task data sets (Arabic, Chinese, and English).

• Transition-based Dependency Parser
  For our paper on non-deterministic oracles for transition-based parsers (Björkelund and Nivre, 2015; download source code), I implemented a transition-based dependency parser with the oracles described in the paper. In subsequent work with Agnieszka Falenska, Jonas Kuhn, and Wolfgang Seeker we extended this parser to also handle sentence splitting (Björkelund et al., 2016; download source code).

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