Unsupervised Part-of-Speech (POS) Tagging System

An Unsupervised Part-of-Speech (POS) Tagging System is a Part-of-Speech (POS) Tagging System that is based on an unsupervised learning system.

• Example(s):
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• Counter-Example(s):
  • a Text Parsing System,
  • a Phrasal Chunking System,
  • a Word Mention Tagging System,
  • a Co-Reference Resolution System,
  • a Chunking System.
• See: Natural Language Processing System, Word Sense Disambiguation System, Noun, Verb, Pronoun, Adjective, Morphology, Syntax, Lexicon.

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References

2017

• (Sammut & Webb, 2017) ⇒ Claude Sammut, and Geoffrey I. Webb. (2017). “Part of Speech Tagging.” In: (Sammut & Webb, 2017). 10.1007/978-1-4899-7687-1_100357
  • QUOTE: Part-of-speech tagging (POS tagging) is a process in which each word in a text is assigned its appropriate morphosyntactic category (for example noun-singular, verb-past, adjective, pronoun-personal, and the like). It therefore provides information about both morphology (structure of words) and syntax (structure of sentences). This disambiguation process is determined both by constraints from the lexicon (what are the possible categories for a word?) and by constraints from the context in which the word occurs (which of the possible categories is the right one in this context?). For example, a word like table can be a noun-singular, but also a verb-present (as in I table this motion). This is lexical knowledge. It is the context of the word that should be used to decide which of the possible categories is the correct one.

1992

• (Brill, 1992) ⇒ Eric D. Brill. (1992). “A Simple Rule-based Part of Speech Tagger.” In: Proceedings of the Conference on Applied Natural Language Processing (ANLP 1992).

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