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Learn about the comprehensive process of adding word sense annotations to the Penn TreeBank corpus in this hour-long lecture by Martha Stone Palmer from Johns Hopkins University's Center for Language & Speech Processing. Explore the methodologies, challenges, and linguistic considerations involved in sense tagging one of the most influential syntactically annotated corpora in computational linguistics. Discover how semantic sense disambiguation enhances the utility of the Penn TreeBank for natural language processing research and applications. Gain insights into the annotation guidelines, inter-annotator agreement measures, and the impact of sense-tagged data on machine learning approaches to word sense disambiguation. Understand the theoretical foundations of lexical semantics that inform the tagging process and examine specific examples of how ambiguous words are disambiguated within their syntactic and semantic contexts.
