Gerard de Melo's Talks and Activities

Public Speaking / Invited Talks

Public Lecture at the German Consulate NYC

Keynote and Invited Talks at Events

(not including regular paper presentations at conferences and workshops)

• Künstliche Intelligenz – Chance oder Bedrohung?
  URANIA "Wilhelm Foerster" Potsdam, Potsdam, 2023
  
  
• From Data to AI
  Invited Talk at Workshop on "Data, Knowledge, Language: Past, Present and Future Research", Max Planck Institute for Informatics, Saarbrücken, 2023
  
  
• Technically obsolete? Journalism and democracy in the age of AI
  Working Group Speaker at M100 Sanssouci Colloquium 2023, Potsdam
  
  
• AI at Hasso Plattner Institute (HPI)
  SAP Sapphire & ASUG Annual Conference Orlando 2023, Orlando, FL, USA, 2023
  
  
• Künstliche Intelligenz
  Keynote Speaker at 6. Kongress Urheberrechtspolitik, Berlin, 2023
  
  
• Artificial Intelligence and Intelligent Systems
  Invited Talk at HPI–MIT “Designing for Sustainability” Workshop, MIT, Cambridge, MA, USA, 2023
  
  
• AI: A Primer
  Guest Lecture in WideHealth Winter School on Trustworthy AI, HPI, Potsdam, 2023
  
  
• AI at Hasso Plattner Institute (HPI)
  GACC New York Artificial Intelligence Delegation Trip to Berlin, Berlin, Germany, 2023
  
  
• Wie können uns Sprachmodelle den Alltag und die Arbeit erleichtern?
  Panel Speaker at LEAM Conference 2023, Berlin
  
  
• Wie KI aus Text und Bildern lernt
  Invited Talk at Science Notes "Künstliche Intelligenz" at Berlin Science Week 2022, SO36, Berlin
  
  
• Learning from Heterogeneous Data
  Invited Talk at HPI@UCI 2022 Symposium, UC Irvine, CA, USA
  
  
• Artificial Intelligence: A Brief Introduction
  Keynote Talk at HPI-OAU Fundamentals of NLP Bootcamp held at Obafemi Awolowo University (OAU), Nigeria, 2022
  
  
• Recent Techniques for Multimodal AI
  Invited Talk at the Envision Bootcamp: A Hands-on Introduction to Multimodal (Signal) Analysis Techniques To gain Qualitative and Quantitative Understanding of Team Dynamics, Potsdam + online, 2021
  
  
• How Can I Help You? Knowledge Graphs for Explainable Recommendation
  Keynote Speaker at the 3rd Workshop on Knowledge-aware and Conversational Recommender Systems (KaRS) at RecSys 2021
  
  
• Appearances Matter: Enhancing the Presentation of Text using Cross-Modal Representation Learning and Emotion Analysis
  Keynote Speaker at the AAAI-21 Workshop on Content Authoring and Design (CAD21)
  Talk Slides
  
  
• Explainable AI
  Invited Talk at HPI Research Symposium 2020, HPI, Germany
  
  
• Putting AI to work – How AI is disrupting the workplace
  Panel Speaker at Cluj Innovation Days 2020
  
  
• Toward More Fine-Grained Sentiment and Emotion Analysis of Text
  Speaker at Strata Data Conference New York 2019
  
  
• Knowledge Integration based on Human Language Technology
  Invited Speaker at 3rd Summer Datathon on Linguistic Linked Open Data (SD-LLOD-19)
  
  
• Deep Sentiment Analysis Across Language Boundaries
  Speaker at O'Reilly AI New York 2018
  
  
• Learning Meaning from Web-Scale Big Data
  Speaker at Strata Data Conference New York 2017
  
  
• Knowledge Graphs: Venturing out into the Wild
  Keynote Talk at ISWC 2016 NLP&DBpedia Workshop
  
  
• N/A
  Invited Talk for BMW China Tour, 2016
  
  
• Learning Semantics with Heterogeneous Supervision
  Invited Talk at Nuance Research Conference 2016
  
  
• Towards Deep Learning with Heterogeneous Supervision
  Invited Talk at UESTC Symposium on Research Frontiers in AI, Chengdu, China, 2015
  
  
• Heterogeneous Supervision and Data Integration for NLP
  Invited Talk at Beijing-Melbourne Workshop on Multilingual NLP and Social Media Analytics, Beijing, China, 2015
  
  
• The Future of Knowledge Graphs: Moving beyond Simple Collections of Facts
  Keynote Speaker at 3rd Chinese Knowledge Graph Conference (KG 2015), Yichang, China, 2015
  
  
• Why Researchers are Managers
  Keynote Speaker at the PIKM 2015 Workshop at CIKM 2015, Melbourne, 2015
  
  
• Learning Multilingual Semantics from Big Data on the Web
  Keynote Speaker at the ACL 2015 Workshop 'Semantics-Driven Statistical Machine Translation: Theory and Practice' (S²MT), Beijing, 2015
  
  
• Cognitive Computing for Semantics
  Keynote Speaker at the ACL 2015 Fourth Workshop on Hybrid Approaches to Translation (HyTra), Beijing, 2015
  
  
• Learning to Reason about the World using Big Data
  Invited Speaker at the Third Workshop on Natural Language and Computer Science (NLCS), at ICALP/LICS, Kyoto, 2015
  
  
• Big Data Search and Analysis
  Invited Panelist for panel at DASFAA 2015, Hanoi, Vietnam (Slides)
  
  
• Learning Meaning from Big Data on the Web
  Invited Speaker at BIT InfoTech-2015, Shenzhen, 2015
  
  
• Broad-Coverage Semantic Analysis using Big Data on the Web
  Invited Speaker at Shonan Meeting on Logical Analysis of Descriptions and their Representations, Japan, 2015
  
  
• From Linked Data to Tightly Integrated Data (Slides)
  Invited Speaker at LREC 2014 Workshop on Linked Data in Linguistics (LDL-2014)
  
  
• Collecting Knowledge from the Web
  American University of Beirut Linked Data Workshop, 2014
  
  
• Tsinghua Meets the ILLC Panel Discussion
  Tsinghua Meets the ILLC Workshop, Beijing, 2013
  
  
• Tapping the Collective Intelligence of the Web
  Invited Speaker at The Creative Web, International Symposium on Computational Creativity as a Web-Service, KAIST, 2012
  
  
• Multilingual Linked Data & Language Resources
  Invited Panelist at Dagstuhl Multilingual Semantic Web Workshop, 2012
  
  
• Untangling the Cross-Lingual Link Structure of Wikipedia
  Invited Talk at ACL 2012 Workshop on Multilingual Modeling, Jeju, South Korea, 2012
  
  
• Graph-Based Methods for Large-Scale Multilingual Knowledge Integration
  Keynote Speaker at Logics and Ontologies for Portuguese Workshop. Fundação Getúlio Vargas, Rio de Janeiro, Brazil, 2011
  
  

Invited Talks at Institutions

• Can AI Be Creative?
  Evening event at German Consulate, organized by American Council on Germany, the German Center for Research and Innovation, and the Hasso Plattner Institute NYC, New York, NY, USA, 2023
  
  
• ChatGPT & co. – Warum Künstliche Intelligenz immer besser wird
  Invited Talk at Collegium Europaeum Jenense​, Jena, Germany, 2023
  
  
• Die Chancen künstlicher Intelligenz
  Verlag Der Tagesspiegel, Berlin, 2023
  
  
• ChatGPT and Beyond: How Do Language Models Really Work?
  Hasso Plattner Institute New York, New York, NY, USA, 2023
  
  
• ChatGPT and the Future of AI
  German Consulate General New York, New York, NY, USA, 2023
  
  
• ChatGPT, HAL 9000 und iRobot: Herausforderungen, Möglichkeiten und Grenzen der künstlichen Intelligenz
  German Federal Foreign Office (Auswärtiges Amt), Germany, 2023
  
  
• Large Language Models vs. Large AI Models
  Dagstuhl Workshop Challenges and Perspectives in Deep Generative Modeling, Schloss Dagstuhl, Germany, 2023
  
  
• From Artificial Intelligence to Intelligent Systems
  Inaugural Lecture, Hasso Plattner Institute / University of Potsdam, Germany, 2022
  
  
• Can Artificial Intelligence be Creative?
  German International School of Silicon Valley, CA, USA, 2021
  
  
• Explainable AI using Knowledge Graphs
  SAP, 2021
  
  
• Digging Deeper: Representation Learning for Fine-Grained Sentiment and Emotion Analysis of Text
  Duke University, USA, 2020
  
  
• Towards Interpretable Semantics and Knowledge in NLP
  Bloomberg, New York City, USA, 2019
  
  
• Digging Deeper: Representations for Fine-Grained Affective Text Analysis
  Montclair State University, USA, 2019
  
  
• Knowledge Integration for Real-World Big Data
  Free University of Bozen-Bolzano, Italy, 2019
  
  
• Summarizing and Connecting Content across Modalities
  Heidelberg University, Germany, 2019
  
  
• Towards Interpretable and Explicit Semantics in NLP
  Google, New York City, 2018
  
  
• Representation Learning from Text, Knowledge, Networks, and Videos
  SRI, Princeton, 2018
  
  
• Learning Semantics and Commonsense Knowledge from Heterogeneous Data
  New York University, 2017
  
  
• Making Semantic Technology Intelligent
  Universität Hamburg, Germany, 2016
  
  
• Neural Knowledge Modeling from Web-Scale Data
  L3S Research Center, Hannover, Germany, 2016
  
  
• Deep Learning and Embeddings
  Max Planck Institute for Informatics, Saarbrücken, Germany, 2016
  
  
• Data Integration in NLP
  Samsung Research, Beijing, China, 2016
  
  
• Learning Semantics with Heterogeneous Supervision
  Nuance, Aachen, Germany, 2016
  
  
• Heterogeneous Supervision and Data Integration for NLP
  Institute of Automation, Chinese Academy of Sciences, Beijing, China, 2015
  
  
• Algorithms for Large-Scale Semantic Knowledge Graphs
  University of Tokyo, Japan, 2014
  
  
• Algorithms for Large-Scale Semantic Knowledge Graphs
  NARA Institute of Science and Technology (NAIST), Japan, 2014
  
  
• Data-Driven Approaches to Semantics and Cognition
  Keio University, Japan, 2014
  
  
• Link Prediction in Big Knowledge Graphs
  Aarhus University, Denmark, 2014
  
  
• Link Prediction for Semantic Knowledge Graphs
  The Hong Kong Polytechnic University, 2014
  
  
• Joint Link Prediction Methods for Large-Scale Commonsense Knowledge
  Télécom ParisTech University, Paris, 2014
  
  
• From Language to Knowledge and Vice Versa
  Max Planck Institute for Informatics, Saarbrücken, 2014
  
  
• Beyond Information Extraction: Graph Algorithms for Better Knowledge Harvesting
  Microsoft Research Asia, Beijing, 2013
  
  
• Link Prediction in Big Knowledge Graphs
  Technical University Darmstadt, Germany, 2013
  
  
• Data Integration and Reasoning on Real-World Big Data
  SAP Labs, Palo Alto, CA, 2013
  
  
• Beyond Information Extraction: Graph Algorithms for Better Knowledge Harvesting
  Google, Mountain View, CA, 2013
  
  
• Beyond Information Extraction: Graph Algorithms for Better Knowledge Harvesting
  Nuance Communications, Sunnyvale, CA, 2013
  
  
• Connecting the Dots: Making Sense of Big Data on the Web
  Stanford University, Stanford, CA, 2013
  
  
• Data Integration and Reasoning on Real-World Big Data
  SRI International, Menlo Park, 2012
  
  
• Connecting the Dots: Data Integration for the Web of Data
  Hasso Plattner Institute, Potsdam, 2012
  
  
• Making Sense of Words and Text in over 100 Languages
  University of Massachusetts Amherst, 2012
  
  
• Graph-Based Methods for Large-Scale Multilingual Knowledge Integration
  University of Cambridge, UK, 2011
  
  
• Graph-Based Data Integration Techniques for Knowledge about Words and Entities
  Microsoft Research Cambridge, UK, 2011
  
  
• Large-Scale Data Integration Techniques for Knowledge about Words and Entities
  INRIA Saclay, Paris/Orsay, France, 2011
  
  
• Constructing Large-Scale Semantic Knowledge Bases
  Technical University Darmstadt, Germany, 2009

Professional Activities

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