Reasoning in Natural Language - Challenges and Innovations in Semantic Understanding

Join Dr. Dan Roth for a 45-minute exploration of semantics and its crucial role in natural language understanding. Discover why tasks requiring comprehension of truth and real-world context remain challenging despite AI and machine learning advancements. Learn about cutting-edge approaches to address these issues, including decomposing reasoning tasks and combating information pollution. Gain deep insights into semantic understanding challenges and innovations, essential for AI enthusiasts and professionals in machine learning, natural language processing, and data science. Explore topics such as spatial reasoning, key challenges for NLP researchers, Dialog2APIs, and comparable texts extraction. Access resources discussed during the talk on GitHub to enhance your skills in data visualization and engineering techniques, advancing your data science career.

- Intro
- AI in the news
- So where are we?
- Spatial Reasoning
- Key Challenges to NLP Researchers
- DIalog2APIs
- Comparable Texts Extraction
- Conclusion