Lectures related to Coreference

Delves into coreference resolution, discussing challenges, advancements, and evaluation methods.

Covers coreference resolution, models, applications, challenges, and advancements in natural language processing.

Coreference Resolution: Models and Evaluation

Explores coreference resolution models, challenges in scoring spans, graph refinement techniques, state-of-the-art results, and the impact of pretrained Transformers.

Ethical Considerations in Natural Language Processing

Explores ethical challenges in NLP systems, including biases, toxicity, privacy, and disinformation.

Handling Text Data: Document Retrieval and Classification

Covers document retrieval, classification, sentiment analysis, and topic detection using TF-IDF matrices and contextualized word vectors.