Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.
Delves into coreference resolution, discussing challenges, advancements, and evaluation methods.
Introduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.
Covers coreference resolution, models, applications, challenges, and advancements in natural language processing.
Explores prompting, alignment, and the capabilities of large language models for natural language processing tasks.
