parts of speech

parts of speech (POS) and named entities are useful clues to sentence structure and meaning. knowing whether a word is a noun or a verb tells us about likely neighboring words (nouns in English are preceded by determiners and adjectives, verbs by nouns) and syntactic structure (verbs have dependency links to nouns), making part-of-speech tagging a key aspect of parsing. knowing if a named entity like Washington is a name of a person, a place, or a university is important to many natural language understanding tasks like question answering, stance detection, or information extraction.
tagdescriptionexample
adjadjective: noun modifiers describing propertiesred,young,awesome
advadverb: verb modifiers of time, place, mannervery,slowly,home,yesterday
nounwords for persons, places, things, etc.algorithm, cat, mango, beauty
verbwords for actions and processesdraw, provide, go
propnproper noun: name of a person, organization, place, etc..Regina, IBM, Colorado
intjinterjection: exclamation, greeting, yes/no response, etc.oh, um, yes, hello
adpadposition (preposition/postposition): marks a noun's special, termpoal, or other relationin, on, by under
auxauxiliary: helping verb making tense, aspect, mood, etc..can, may, should, are
cconjcoordinating conjunction: joins two phrases/clausesand, or, but
detdeterminer: marks noun phrase propertiesa, an, the, this
numnumeralone, two, first, second
partparticle: a preposition-like form used together with a verbup, down, on, off, in, out, at, by
pronpronoun: a shorthand for referring to an entity or eventshe, who, I, others
sconjsubordinating conjunction: joins a main clause with a subordinate clause such as a sequential complementthat, which
punctpunctuation; , ()
symsymbols like $ or emoji$, %
Xotherasdf, qwfg
[cite:;taken from @nlp_jurafsky_2020 chapter 8 sequence labeling for parts of speech and named entities]