Controlled natural language

Related lectures (32)

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Covers keyphrase extraction, a method to extract important phrases from text for document summarization, indexing, and search.

Explores deep learning for question answering, analyzing neural networks and model robustness to noise.

Explores the evolution from sparse modeling to sparse communication in neural networks for natural language processing tasks.

Explores the attention mechanism in machine translation, addressing the bottleneck problem and improving NMT performance significantly.

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

Explores model interpretability in NLP, focusing on probing methods and local explanations to understand model predictions.

Explores data annotation in NLP and the impact of biases on model fine-tuning.

Introduces financial markets, time series, machine learning applications in finance, and natural language processing.

Covers the importance of multilingual NLP and the challenges in scaling language models.

Introduces the basics of Natural Language Processing, covering challenges, application domains, and linguistic processing levels.