Sequence labeling is a pattern recognition task in machine learning where categorical labels are assigned to each element of a sequence. It is often used for part-of-speech tagging, where the optimal label for a word depends on nearby words. Most sequence labeling algorithms use statistical inference and make a Markov assumption, with hidden Markov models being a common choice.
University of Washington
Winter 2022
This course provides a comprehensive overview of Natural Language Processing (NLP), including core components like text classification, machine translation, and syntax analysis. It offers two project types: implementation problem-solving for CSE 447, and reproducing experiments from recent NLP papers for CSE 517.
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+ 16 more conceptsStanford University
Winter 2023
This course is centered on extracting information from unstructured data in language and social networks using machine learning tools. It covers techniques like sentiment analysis, chatbot development, and social network analysis.
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+ 14 more concepts