Invited Talks
- Detecting Factual Errors of Large Language Models. 34th Brazilian Conference on Intelligent Systems (BRACIS), November 2024. [Slides]
- Quantifying societal biases towards entities. 5th Workshop on Gender Bias in Natural Language Processing (GebNLP) at ACL, August 2024. [Slides]
- Detecting Factual Errors of Large Language Models. Towards Knowledgeable Language Models (KnowledgeableLMs) Workshop at ACL, August 2024. [Slides]
- Revealing the Parametric Knowledge of Language Models. International NLP Workshop, Korea Advanced Institute of Science and Technology (KAIST), August 2024.
- Revealing the Parametric Knowledge of Language Models. Computer Science Symposium, Korea Advanced Institute of Science and Technology (KAIST), Graduate School of AI, August 2024.
- Explainable and Robust Automatic Fact Checking. Computer Science Symposium, Korea Advanced Institute of Science and Technology (KAIST), Graduate School of AI, July 2024.
- Detection Distortions in Science Reporting. 3rd International Workshop on Computational Methods for Online Discourse Analysis (BeyondFacts’24) at The Web Conference, May 2024.
- Factuality in the age of large pre-trained language models. University of Copenhagen, Professors' Symposium, January 2024.
- Potentials and Pitfalls of AI in Research and Innovation. Danish Council for Research and Innovation Policy, DFiR, debate on Artificial Intelligence and Risks - From Plagiarism to Geopolitics, January 2024.
- Transparent Cross-Domain Stance Detection. Institut Polytechnique de Paris, Computational Social Science seminar, November 2023.
- Factuality in the age of large pre-trained language models. Conference on Harmful Online Communication (CHOC), Leibiz Institute for the Social Sciences (GESIS), November 2023.
- Dimensions of Diversity in Natural Language Processing. Royal Danish Academy of Sciences and Letters, October 2023.
- Explainable Fact Checking. Novo Nordisk, October 2023.
- Factuality in the age of large pre-trained language models. Pioneer Centre for AI, AI Research Monshots Workshop, October 2023.
- Quantifying gender biases towards entities. 2023 Conference on Recent Advances in Natural Language Processing (RANLP 2023), September 2023.
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. Seminar Series, Institut für Maschinelle Sprachverarbeitung, University of Stuttgart, June 2023.
- Gender Bias in Natural Language Processing. Seminar Series on social data science and gender, Faculty of Social Sciences, University of Copenhagen, June 2023.
- Factuality in the Age of Large Pre-Trained Language Models. SCIENCE Digitalisation Council meeting, University of Copenhagen, June 2023.
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. Max Planck Institute for Informatics, Saarbrücken, May 2023.
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. Department of Sociology, University of Copenhagen, May 2023.
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. Basque Center for Language Technology (HiTZ), March 2023.
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. 37th AAAI Conference on Artificial Intelligence, February 2023. [Slides]
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. Columbia University, Data Science Institute, February 2023.
- Beyond Fact Checking — Modelling Information Change in Scientific Communication. University of Copenhagen, Center for Tracking and Society (CTS), February 2023.
- Evaluating Automatically Generated Fact Checking Explanations. 1st Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS) at ICWSM 2022, June 2022.
- Automatically Detecting Scientific Misinformation. Second Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (CONSTRAINT) at ACL 2022, May 2022.
- Accountable and Robust Automatic Fact Checking. University of Helsinki, Research Seminar in Language Technology, May 2022.
- Accountable and Robust Automatic Fact Checking. 44th European Conference on Information Retrieval (ECIR), April 2022.
- Automatically Explaining Fact Checking Predictions. Copenhagen Center for Social Data Science (SODAS), March 2022.
- Automatically Explaining Fact Checking Predictions. GESIS Computational Social Science (CSS) Seminar, March 2022.
- Determining the Credibility of Science Communication. IT University NLP Seminar, March 2022.
- Accountable and Robust Automatic Fact Checking. University of Maryland Lab on Computational Linguistics and Information Processing (CLIP), December 2021.
- Accountable and Robust Automatic Fact Checking. Allen School NLP Speaker Series, October 2021.
- Explainable Fact Checking. DIKU Alumni Day, September 2021.
- Determining the Credibility of Science Communication. Second Workshop on Scholarly Document Processing at NAACL 2021, June 2021. [Extended Abstract] [Slides] [Video]
- Evaluating Automatically Generated Fact Checking Explanations. Distinguished Speakers: Oxford Women in Computer Science, May 2021.
- On the different stages of adaptation in domain adaptation. Adapt-NLP: The Second Workshop on Domain Adaptation for NLP at EACL 2021, April 2021.
- Toward Explainable Fact Checking. University of Copenhagen, DIKU Business Club webinar on `Fighting Harmful Content on the Web', March 2021. [Slides] [Video]
- Toward Explainable Fact Checking. University of Cambridge; Language Technology Lab (LTL) seminar, January 2021.
- Toward Explainable Fact Checking. ETH Zurich; Law, Economics, and Data Science Group, December 2020.
- Explainable Fact Checking as Structured Prediction. Structured Prediction for NLP workshop at EMNLP 2020, November 2020.
- Towards Explainable Fact Checking. ACL FEVER Workshop Invited Talk, July 2020. [Slides]
- Towards Explainable Fact Checking. University of Cambridge, NLIP Seminar Series, June 2020.
- Towards Explainable Fact Checking. Google Research & Google News Seminar, June 2020.
- What can typological knowledge bases and language representations tell us about linguistic properties? University of Zurich, Department of Informatics Colloqium, March 2020.
- Tracking False Information Online. TU Dresden, Computer Science Colloqium, February 2020.
- Tracking False Information Online. IT University Copenhagen, NLP Seminar Series, November 2019.
- MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. Copenhagen Business School, Seminar on Fact Checking, November 2019.
- Tracking False Information Online. 5th Workshop on Noisy User-generated Text (WNUT) at EMNLP-IJCNLP 2019, November 2019.
- What can typological knowledge bases and language representations tell us about linguistic properties? Typology for Polyglot NLP workshop at ACL 2019, August 2019. [Slides]
- Natural Language Understanding with Limited Training Data. Hamburg University, Institute of Informatics, Hamburg, Germany, April 2019.
- Natural Language Understanding with Limited Training Data. Uppsala University, QUARTZ ITN workshop, Copenhagen, Denmark, April 2019.
- Natural Language Understanding with Limited Training Data. Uppsala University, NLP Meetup Series, Uppsala, Sweden, March 2019.
- Natural Language Understanding with Limited Training Data. University of Copenhagen SCIENCE AI Centre, Copenhagen, Denmark, March 2019.
- Natural Language Understanding with Limited Training Data. Heidelberg Institute for Theoretical Studies, Heidelberg, Germany, January 2019.
- Learning with limited labelled data in NLP: multi-task learning and beyond. Johns Hopkins University, Center for Language and Speech Processing, Baltimore, Maryland, USA, June 2018. [Slides]
- Learning with limited labelled data in NLP: multi-task learning and beyond. Machine Learning for Language group, New York University, New York City, New York, USA, June 2018.
- Learning with limited labelled data in NLP: multi-task learning and beyond. ILCC Seminar Series, The University of Edinburgh, Edinburgh, May 2018.
- Learning with limited labelled data in NLP: multi-task learning and beyond. University of Ghent, Information Extraction and Retrieval group, Ghent, Belgium, May 2018.
- Learning what to share in multi-task learning. Grammarly, Kyiv, Ukraine, November 2017.
- Learning to Read for Automated Fact Checking. Ukrainian AI/NLP Meetup Series, Kyiv, Ukraine, November 2017.
- Learning to Read for Automated Fact Checking. Computer Science Department Lecture Series, Aarhus University, Aarhus, Denmark, November 2017. [Slides]
- Learning to Read for Automated Fact Checking. AU Datalab Lecture Series, Aarhus University, Aarhus, Denmark, November 2017.
- Learning to Read for Automated Fact Checking. Linköping University, Linköping, Sweden, November 2017.
- NLP beyond the sentence level. Structured Prediction for NLP workshop at EMNLP 2017, September 2017.
- Machine Reading Using Neural Machines. Microsoft Research Faculty Summit 2017: The Edge of AI. Redmond, Washington, USA, July 2017. [Slides]
- Learning to Read for Automated Fact Checking. Google, London, UK, April 2017.
- Weakly supervised Machine Reading for Science Publications. National Institute for Informatics (NII), Tokyo, Japan, January 2017.
- Weakly supervised Machine Reading for Science Publications. University of Tokyo Department of Computer Science, Tokyo, Japan, January 2017.
- Weakly supervised Machine Reading for Science Publications. NAIST Computational Linguistics Lab, Ikoma, Japan, January 2017.
- Machine Reading. Big Data Application Symposium, NAIST Big Data Project (with Pontus Stenetorp), Ikoma, Japan, January 2017.
- Information Extraction meets Question Answering. Answering Questions using Web Data (WDAqua) Marie Skłodowska-Curie Innovative Training Network (ITN) R&D Week, Athens, Greece, December 2016.
- Learning to Detect Stance and Represent Emojis. University of Cambridge, Cambridge, UK. University of Cambridge NLIP Seminar Series, November 2016.
- Learning to Detect Stance and Represent Emojis. South England Natural Language Processing Meetup, London, UK, November 2016.
- Weakly Supervised Machine Reading. University of Sheffield, Sheffield, UK. Invited talk in University of Sheffield NLP Seminar Series, October 2016. [Slides]
- Weakly Supervised Machine Reading. CoAStaL group, Copenhagen, Denmark. Invited talk and paid 1-week research visit in University of Copenhagen Computer Science department, October 2016. [Slides]
- Distant Supervision with Imitation Learning. Heriot-Watt University, Edinburgh, UK. Invited talk in Heriot-Watt University Computer Science Seminar Series, November 2015. [Slides]
- Distant Supervision with Imitation Learning. University of Sheffield, Sheffield, UK. University of Sheffield NLP Seminar Series, November 2015. [Slides]
- Web Information Extraction using Distant Supervision. University of Sheffield, Sheffield, UK. University of Sheffield NLP Seminar Series, January 2015.
Panels
- Panelist at Eighth Widening NLP (WiNLP) on "Sailing the NLP Seas - Navigating Research in the Age of LLMs" at EMNLP, November 2024.
- Panelist at NLP for Wikipedia workshop on "Misinformation and Impact of LLMs on Wikipedia and Online Communities" at EMNLP, November 2024.
- Panelist at Towards Knowledgeable Language Models (KnowledgeableLMs) workshop at ACL, August 2024.
- Panelist at Knowledge Graphs and Large Language Models Workshop (KaLLM) workshop at ACL, August 2024.
- Innovation Fund Denmark, 10 year anniversary, April 2024.
- Panelist on "Careers in NLP" panel at NAACL 2021, June 2021.
- Panelist on "What should we be teaching?" at Teaching NLP workshop at NAACL 2021, June 2021.
- What can ML do for knowledge graphs – and what can graphs do for ML? Knowledge Connexions panel at Knowledge Graph Conference, December 2020.
- Machine Reading Using Neural Machines. Microsoft Research Faculty Summit 2017: The Edge of AI. Redmond, Washington, USA, July 2017. [Slides]