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Mastering spaCy

POS Tagging - Continued

Learn advanced POS tagging concepts using spaCy, including word-sense disambiguation challenges, verb tense and aspect interpretation, and handling special tags like numbers, symbols, and punctuation. This lesson helps you understand how these linguistic features improve NLP applications like intent detection and financial text analysis.

We'll cover the following...

Word-sense-disambiguation

Word-sense-disambiguation (WSD) is a classical NLU problem of deciding in which sense a particular word is used in a sentence. A word can have many senses—for instance, consider the word "bass." Here are some senses we can think of:

  • Bass—seabass, fish (noun (N))

  • Bass—lowest male voice (N)

  • Bass—male singer with lowest voice range (N)

Determining the sense of the word can be crucial in search engines, machine translation, and question-answering systems. For the preceding example, "bass," a POS tagger is unfortunately not of much help as the tagger labels all senses with a noun tag. We need more than a POS tagger. How about the word "beat?" Let's have a look at this here:

  • Beat—to strike violently (verb (V)) ...