Hot Topics in Natural Language Processing (HoTNLP)
where: Room B2 - Via Ariosto 25
when: Monday, Tuesday, Wednesday (8.30-10.00), starting September 25th
The field of Natural Language Processing (NLP) has witnessed unprecedented growth and innovation in recent years, making it one of the most dynamic and exciting domains in artificial intelligence. This course will explore the most current and groundbreaking developments in NLP, offering students a deep dive into the latest advancements, techniques, and challenges that define the field today, including:
- Transformer Models and Beyond: understanding the impact of models like BERT, GPT-3, and their successors
- Low-Resource and Cross-Lingual NLP: exploring strategies for NLP in languages with limited resources and in cross-lingual applications
- Multimodal NLP: investigating the integration of text with other modalities such as images and audio
- Event extraction: automatically identifying and extracting structured information about events, such as dates, locations, participants, and their roles, from unstructured text data
- Dialogue: exploring some challenges of conversational AI.
- Commonsense knowledge and reasoning: addressing the challenges of identifying and encoding commonsense information and reasoning with it
- Summarization: introducing abstractive and extractive methods, and their applications in distilling information from vast textual datasets
- Interpretable NLP: sketching some ideas behind making NLP models interpretable and transparent, and its importance
You can find all the information in the Google classroom with code: 4vjvlnj.
