Selected Talks
* talks at events for policy-makers and non-academic audiences
Upcoming talks
- TBA
September 30-October 3 2024: Shonan meeting 209: Empowering Local Open Source LLMs, Kanagawa, Japan - TBA
September 26 2024: Athens NLP Summer School, Greece - TBA
July 1-2 2024: NLP seminar at Cardiff University, Wales - NarrativeTime: Dense Temporal Annotation on a Timeline
May 20-25 2024: LREC-COLING 2024, Turin, Italy - A Sanity Check on Emergent Properties
May 17 2024: NLP seminar at Milan NLP - A Sanity Check on Emergent Properties
May 15 2024: Georgetown University, Washington D.C., USA - A Sanity Check on Emergent Properties
April 25 2024: Centre for linguistic theory and studies in probability, Goteborg, Sweden
2024
- A Sanity Check on Emergent Properties
March 27 2024: NLP seminar at UMass Amherst (online) - A Sanity Check on Emergent Properties
March 21 2024: Workshop on Responsible Data Science & AI Research: Fairness, Safety, and Reproducibility at Queen Mary University of London (online) [SLIDES] - Generative AI: what it can and can’t do for research
February 8 2024: DARMA netværksarrangement 2024 (Fredericia, Denmark) SLIDES - Understanding how regulations will affect data spaces participants
Panel at Legislation and regulations for data spaces (online) - Peer review at ACL’23
Jan 28-Feb 02: Dagstuhl Seminar 24052: Reviewer No. 2: Old and New Problems in Peer Review. Dagstuhl, Germany
2023
- A Sanity Check on Emergent Properties
December 6 2023: GenBench workshop at EMNLP 2023 (Singapore) [SLIDES] - A Sanity Check on Emergent Properties
November 23 2023: Sprogteknologisk Konference 2023 at Cambridge Language Technology Lab (online) - Generative AI for research: things to keep in mind
November 14 2023: ITU, presentation for the UFM Office on Research and Research Infrastructure - Generative AI: challenges and opportunities
November 7 2023: Digital Tech Summit (Copenhagen) [SLIDES] - Humans and language models: open questions from the NLP community
September 7 2023: lecture at Analytical Connectionism (UCL, online) [SLIDES pt1] [SLIDES pt2] - Data Science in the age of LLMs
June 27 2023: Keynote at Growing Danish Data Science 2023 - Future of Humanity
June 20 2023: Cross-disciplinary panel at AI Pioneer center - Towards Better Data Governance for Large Language Models
June 13 2023: Keynote at SwissText, [SLIDES] - Large Language Models: Data Governance
June 6 2023: Invited talk for CONNECT University, the flagship knowledge-sharing initiative of the European Commission - Panel Discussion: AI’s Impact on Technology, Research and Education
May 16 2023: Panelist at the Workshop on AI’s impact on Society and Advancements in Technology, Microsoft Research - Training data for Large Language Models: how can we collect it ethically and study it?
May 2 2023: Invited talk at the Linguistic Circle of Copenhagen - “Writing Assistance or PlagAIrism? How Language Models Are Changing Our View of Knowledge
April 29 2023: Invited talk at the Complexity of Knowledge symposium (Santa Fe Institute) - Machine Reading, Fast and Slow: When Do Models “Understand” Language?
April 24 2023: Invited talk at the AI and the Barrier of Meaning seminar (Santa Fe Institute) - Data governance and transparency for Large Language Models: lessons from 🌸 BigScience Workshop
March 30 2023: Invited talk at the AI UK Fringe (Queen’s University Belfast, online) - Data governance and transparency for Large Language Models: lessons from 🌸 BigScience Workshop
February 16 2023: Invited talk at the Institute for Advanced Sociology (Linköping Uni), [SLIDES]
2022
- When does a machine “understand” what it “reads”? September 9 2022: Keynote at the 25th International Conference on Text, Speech and Dialogue (TSD), [SLIDES]
- What kinds of questions have we been asking? A taxonomy for QA/RC benchmarks July 14 2022: invited talk at the The First Workshop on Dynamic Adversarial Data Collection (DADC), [SLIDES]
- Defining and testing reading comprehension “skills”
July 4 2022: invited talk at the Workshop on Ten Years of BabelNet and Multilingual Neurosymbolic Natural Language Understanding, [SLIDES] - When does a machine “understand” what it “reads”?
June 17 2022: keynote at CLIN 2022, Tilburg, Netherlands - When does a machine “understand” what it “reads”?
April 29 2022: invited talk at the University of Edinburgh - Challenges in defining and testing machine verbal reasoning skills
11 April 2022: invited talk at AMORE Mini-workshop on Referential Information in Deep Learning Models (Universistat Pompeu Fabra, Barcelona) - Challenges in defining and testing machine verbal reasoning skills
31 March 2022: invited talk at Stanford NLP Group, [SLIDES] - Case Studies in BERTology: shallow heuristics or verbal reasoning?
14 February 2022: invited talk at Oslo Language Technology Group, [SLIDES]
2021
- BERTology nuggets
15 December 2021: invited talk at London Machine Learning Meetup, [SLIDES] - The Peer Review Process and Widening NLP
11 November 2021: Panel with Bahar Mehmani and Cecilia Superchi at Widening NLP (co-located with EMNLP 2021) - Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
10 November 2021: presentation at Workshop on Insights from Negative Results co-located with EMNLP 2021 - Just what do you think you’re doing, Dave?
10 November 2021: presentation at NLLP workshop co-located with EMNLP 2021 - Changing the world by changing the data
09 November 2021: invited talk at Data-centric AI Day (France is AI) [SLIDES] - What we know about how BERT works
- 27 October 2021: invited talk at Technical University of Denmark, [SLIDES]
- Panel Discussion on Trustworthy NLP (Google)
13 October 2021: Panel with Kellie Webster and Hannach Wallach at Google’s Trustworthy NLP Workshop - Changing the world by changing the data
21 September 2021: invited talk at Machine Learning for NLP (Toronto ML Series) [SLIDES] - Changing the world by changing the data
3 August 2021: oral talk at ACL 2021 [SLIDES] - Reviewing Natural Language Processing research.
29 June 2021: tutorial at TALN 2021 (with Kevin Cohen, Karën Fort, Margot Mieskes and Aurélie Névéol) - A primer in BERTology: what we know about how BERT works
June 17 2021: invited talk at L3-AI [SLIDES] - A primer in BERTology: what we know about how BERT works
June 8 2021: presentation at NAACL 2021 [SLIDES] - The quest for difficult benchmarks in question answering and reading comprehension.
7 May 2021: invited talk at LTI Colloquium at Carnegie Mellon University [URL] [SLIDES] - Reviewing Natural Language Processing research.
20 April 2021: tutorial at EACL 2021 (with Kevin Cohen, Karën Fort, Margot Mieskes and Aurélie Névéol)
2020
- A guide to the dataset explosion in QA, NLI, and commonsense reasoning.
13 Dec 2020: Tutorial at COLING 2020 (online). [URL] [SLIDES] - When BERT plays the lottery, all tickets are winning.
20 Nov 2020: invited talk at BlackBox NLP (online). [URL] - How Much Should Conversational AI Developers know about ML and Linguistics?
16 Jun 2020: The Level 3 AI Assistant Conference, panel discussion with Emily M. Bender, Thomas Wolf, and Vladimir Vlasov (online). [URL] - The questions that the current AI can’t answer
8 Feb 2020: Evaluating Evaluation of AI Systems (Workshop co-located with AAAI 2020, New York, USA). [SLIDES]
2019
- Towards AI Complete Question Answering: Combining Text-based, Unanswerable and World Knowledge Questions
11 December 2019: Allen Institute for Aritficial Intelligence (Seattle, USA). - Text Representations Learning and Compositional Semantic (ACML 2019 tutorial)
November 17 2019: Nagoya, Japan [URL] - The dark secrets of BERT
11 November 2019: RIKEN Center for Computational Science (Tokyo, Japan). - Word embeddings: 6 years later
22 May 2019: UMass Amherst (USA). [SLIDES]
2018
- What’s in your embedding, and how it predicts task performance.
27 September 2018: UMass Amherst (USA). [SLIDES], [VIDEO].
A version of this talk was also presented on August 30 2018 at IT University of Copenhagen (Denmark). - Distributional compositional semantics in the age of word embeddings.
7 May 2018: Tutorial at LREC 2018, Miyazaki, Japan. [URL] - Detecting linguistic relations with analogies: what works and what doesn’t.
July 15 2016: Google Tokyo seminar, Tokyo, Japan. [SLIDES]