opennlp chunker and postag results

Question

Java - opennlp

I am new to opennlp and i am try to analyze the sentence and have the post tag and chunk result but I could not understand the values meaning. Is there any table which can explain the post tag and chunk result values full form meaning ?

Tokens: [My, name, is, Chris, corrale, and, I, live, in, Philadelphia, USA, .]
Post Tags: [PRP$, NN, VBZ, NNP, NN, CC, PRP, VBP, IN, NNP, NNP, .]
chunk Result: [B-NP, I-NP, B-VP, B-NP, I-NP, O, B-NP, B-VP, B-PP, B-NP, I-NP, O]

Answer 1

S -> Simple declarative clause, i.e. one that is not introduced by a (possible empty) subordinating conjunction or a wh-word and that does not exhibit subject-verb inversion.

SBAR -> Clause introduced by a (possibly empty) subordinating conjunction.

SBARQ -> Direct question introduced by a wh-word or a wh-phrase. Indirect questions and relative clauses should be bracketed as SBAR, not SBARQ.

SINV -> Inverted declarative sentence, i.e. one in which the subject follows the tensed verb or modal.

SQ -> Inverted yes/no question, or main clause of a wh-question, following the wh-phrase in SBARQ.

ADJP -> Adjective Phrase.

ADVP -> Adverb Phrase.

CONJP -> Conjunction Phrase.

FRAG -> Fragment.

INTJ -> Interjection. Corresponds approximately to the part-of-speech tag UH.

LST -> List marker. Includes surrounding punctuation.

NAC -> Not a Constituent; used to show the scope of certain prenominal modifiers within an NP.

NP -> Noun Phrase.

NX -> Used within certain complex NPs to mark the head of the NP. Corresponds very roughly to N-bar

PP -> Prepositional Phrase.

PRN -> Parenthetical.

PRT -> Particle. Category for words that should be tagged RP.

QP -> Quantifier Phrase (i.e. complex measure/amount phrase); used within NP.

RRC -> Reduced Relative Clause.

UCP -> Unlike Coordinated Phrase.

VP -> Verb Phrase.

WHADJP -> Wh-adjective Phrase. Adjectival phrase containing a wh-adverb, as in how hot.

WHAVP -> Wh-adverb Phrase. Introduces a clause with an NP gap. May be null (containing the 0 complementizer) or lexical, containing a wh-adverb such as how or why.

WHNP -> Wh-noun Phrase. Introduces a clause with an NP gap. May be null (containing the 0 complementizer) or lexical, containing some wh-word, e.g. who, which book, whose daughter, none of which, or how many leopards.

WHPP -> Wh-prepositional Phrase. Prepositional phrase containing a wh-noun phrase (such as of which or by whose authority) that either introduces a PP gap or is contained by a WHNP.

X -> Unknown, uncertain, or unbracketable. X is often used for bracketing typos and in bracketing the...the-constructions.

Credit: http://mail-archives.apache.org/mod_mbox/opennlp-users/201402.mbox/%3CCACQuOSXOeyw2O-AZtW3m=iABo1=3cpZOdPiWFXoNwN-SVWo4gQ@mail.gmail.com%3E

Answer 2

The POS tags are from the Penn Treebank tagset. The chunks are noun phrases (NP), verb phrases (VP), and prepositions (PP). "B-.." marks the beginning of such a phrase, "I-.." means something like "inner", i.e. the phrase continues here (see OpenNLP docs).

Answer 3

Please refer the POSTag list to get the tags details.

Chunk tags like "B-NP" are made up of two or three parts:
First part:

B - marks the beginning of a chunk
I - marks the continuation of a chunk
E - marks the end of a chunk

As a chunk,it may be only one word long (like "She" in the example above), it can be both beginning and end of a chunk at the same time.

Second part:

NP - noun chunk
VP - verb chunk

For more reference you can refer the OpenNLP Documentation.