Dan Roth - Talks

Some Recent Talks

A keynote talk at the School of Engineering and Applied Science (SEAS) and Penn School of Medicine (PSOM) Workshop on Clinician-centric Trustworthy AI Navigating Information Pollution April 2022.
An invited talk at Technical University of Darmstadt It's Time to Reason February 2022.
A keynote talk at the IBM Neuro-Symbolic AI Workshop It's Time to Reason January 2022.
A keynote talk at the Argonne AI Distinguished Lecture It's Time to Reason January 2022.
EMNLP'21 Workshop on Evaluation & Comparison of NLP Systems (Evel4NLP) Evaluating Evaluation November 2021.
EMNLP'21 Workshop on Simple and Efficient Natural Language Processing (SustaiNLP 2021) It's Time to Reason November 2021.
Symposium on AI Challenges It's Time to Reason October 2021.
Symposium on Preventing Medical Misinformation: Cross-Disciplinary Approaches Navigating Information Pollution: A Perspective from AI & Natural Language Processing October 2021.
ACL'21 Workshop on Interactive Learning for Natural Language Processing Reasoning for Communicating with Agents August 2021.
ICLR'21 Workshop on Weakly Supervised Learning Natural Language Understanding with Incidental Supervision May 2021.
University of Edinburgh, School of Informatics, Distinguished Lecture Series It's Time to Reason February 2021.
A keynote talk at the Text Analysis Conference (TAC) at the National Institue of Standards and Technology (NIST) Natural Language Understanding with Incidental Supervision> February 2021.
Penn in India Information Extraction In Low Resource Languages January 2021.
Baidu Research It's Time to Reason October 2020.
A keynote talk at the Chinese National Conference of Social Media Processing (SMP) Navigating Information Pollution September 2020.
Computer Science, Distinguished Lecture Series, University of California at Santa Barbara, Santa Barbara, CA.It's Time to Reason February 2020.
A keynote talk a the AAAI'20 Workshop on Reasoning for Complex QA. AAAI, NYC.Why (and how) should we study Question Answering? February 2020.
A keynote talk at the AAAI'20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services. AAAI, NYC.Learning from Incidental Supervision February 2020.
A seminar talk at UT Austin. It's Time to Reason December 2019.
A keynote talk at the EMNLP-19 Workshop on Low Resource Languages. Information Extraction In Low Resource Languages: Incidental Supervision and Multilingual Representations. October 2019.
A distinguished lecture series talk at Indiana University. It's Time to Reason September 2019.
A keynote talk at the 2018 International Conference on Data Science, Fudan University, Shanghai, China Incidental Supervision for Natural Language Understanding December 2018.
An invited talk at the NAACL-2018 Workshop on New Forms of Generalization. Incidental Supervision for Natural Language Understanding June 2018.
Colluquium talk at Carnegie Mellon University. Natural Language Understanding with Incidental Supervision. February 2018.
IJCAI John McCarthy Award Lecture. IJCAI 2017, Melbourna, Australia. The Necessity of Learning and Reasoning: A Natural Language Understanding Perspective. August 2017. Video
The 15th Conference of the Italian Association for Artificial Intelligence, Genoa, Italy. A keynote talk on Inducing Semantics with Minimal (or No) Supervision. November 2016.
The 7th Workshop on Cognitive Aspects of Computational Language Learning. Berlin, Germany. A keynote talk on Starting from Scratch in Semantic Role Labeling August 2016.
The University of Amsterdam. A EU workshop on Semantic Processing. Amsterdam, The Netherlands. An invited talk on Inducing Semantics with Minimal (or No) Supervision. June 2016.
University of Wisconsin, Madison, WI. Department of Computer Science Distinguished Lecture Series on Data Management and Analysis. Making Sense of (And Trusting) Unstructured Data. May 2016.
Rutgers University, New Brunswick, NJ. Department of Homeland Security Retreat. An Invited Lecture on Information Trustworthiness. April 2016.
University of Pennsylvania, Philadelphia, PA. Department of Computer Science Distinguished Lecture Series. Constraints Driven Learning and Inference for Natural Language Understanding. February 2016.
AAAI'16, Phoenix, AZ. A workshop on Declarative Learning Based Programming. A keynote speech on Declarative Learning Based Programming. January 2016.
The University of Utrecht, The Netherlands. A workshop on Common Sense and Logic for Reasoning in Natural Language. A keynote speech on Common Sense Reasoning for Natural Language Understanding. October 2015.
NLPCC, Nanchang, China. The 4th China Computer Federation Conference on Natural Language Processing and Chinese Computing. Keynote Speaker. Learning and Inference for Natural Language Understanding. October 2015.
TSD'15, The 18th International Conference on Text, Speech and Dialogue, Plzen, Czech Republic. A keynote talk on Learning and Inference for Natural Language Understanding September 2015.
NeSy'15, The 10th International Workshop on Neural-Symbolic Learning and Reasoning, an IJCAI workshop. Buenos Aires, Argentina. A keynote talk on Natural Language Understanding with Common Sense Reasoning July 2015.
Microsoft Research, an invited talk in the MSR Faculty Summit, Redmond, Wa. Common Sense Reasoning for Natural Language Understanding July 2015.
Boston University, Data Science Initiative, Distinguished Lecture Series, Boston, MA. An invited talk on Learning and Inference for Natural Language Understanding April 2015.
Andreessen Horowitz, Academic Roundtable, Palo Alto, CA. An invited talk on Data Science: Making Sense of Unstructured Data September 2014.
AutoML, an ICML workshop, The International Conference on Machine Learning, Beijing, China. A keynote talk on Learning Based Programming July 2014.
EACL'14, The European Conference of the Association of Computational Linguistics, Gothenburg, Sweden. A keynote talk on Learning and Inference for Natural Language Understanding April 2014.
UW-MSR Summer Institute 2013, on Understanding Situated Language in Everyday Life. Union, Washington. A keynote talk on Starting from Scratch in Semantic Role Labeling July 2013.
Inferning: Interactions between Learning and Inference, an ICML'13 workshop, Atlanta, GA, A keynote talk on Amortized Integer Linear Programming Inference June 2013.
SLG:Structured Learning: Inferring Graphs from Structured and Unstructured Inputs, an ICML'13 workshop, Atlanta, GA, A keynote talk on Decomposing Structured Prediction via Constrained Conditional Models June 2013.
BENELEARN: the Annual Belgium-Netherland Machine Learning Meeting, Nijmegen, The Netherlands, A keynote talk on Constrained Conditional Models: Towards Better Semantic Analysis of Text [UEM focus] June 2013.
KU Leuven, Distinguished Lecture Program,Leuven, Belgium. Constrained Conditional Models: ILP Formulations for Natural Language Understanding [ESRL Focus] May 2013.
IBM Research, NY Making Sense of Unstructured Data [General; Health; Trustworthiness] February 2013.
2nd International Workshop on Statistics Relational AI (StarAI), 2012, Catalina Island, CA. An Invited Talk on Constrained Conditional Models: Integer Linear Programming Formulations for Natural Language Understanding August 2012.
NIPS 2011 Domain Adaptation Workshop, Sierra Nevada, Spain. An Invited Talk on Adaptation without Retraining December 2011.
IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers, Barcelona, Spain (and other places). An Invited Talk on Learning from Natural Instructions July 2011.
Microsoft Research, Redmond, WA. Constraints Driven Learning for Natural Language Understanding. June 2011.
Language Technologies Institute Colloquium, Carnegie Mellon University, Pittsburgh, PA. Constraints Driven Structured Learning with Indirect Supervision. April 2010.
Computational Linguistics Colloquium, Saarland University and the Max Planck Institute, Saarland, Germany. Constrained Conditional Models: Learning and Inference in Natural Language Understanding. January 2010
NAACL-HLT 2009 Workshop on Integer Linear Programming for Natural Language Processing. Invited talk on Constrained Conditional Models: Learning and Inference for Natural Language Understanding. (June 2009)
University of Edinburgh Constrained Conditional Models for Global Learning and Inference (February 2008)
The Director's Seminar @ The Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign. Natural Language Processing via Global Inference and Learning (November 2007)
AAAI-2006, The American Association of Artificial Intelligence. An Invited talk on Global Inference and Learning: Towards Natural Language Understanding (July 2006) Abstract
Empirical Modeling of Semantic Equivalence and Entailment (Workshop co-located with ACL-2005). An Invited talk on Knowledge Representation and Inference Models for Textual Entailment (June 2005)
BIC'04. An Invited talk on Learning and Inference in Natural Language: from Stand Alone Learning Tasks to Structured Representations (Nov. 2004) Abstract
The European Conference on Machine Learning (ECML), 2002. An Invited talk on Reasoning with Classifiers (Aug. 2002)
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2002. An Invited talk on Learning and Inference in Natural Language (July 2002)
Snowbird'02. A talk on Generalization bounds, projection profile, and margin distribution. (April 2002)
NIPS-14 Poster: Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms (Dec. 2001)
LLL-ILP invited talk on Natural Language: Relational Learning using Propositional Algorithms. (Sept. 2001)