How to find possible subjects for given verb in everyday object domain Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsNamed Entity Recognition: NLTK using Regular ExpressionDocument Categorization ProblemHow to automatically find the sentiment?Determining usage/context of terms/acronyms/abbreviations in pythonProper/Possible methods for extracting unstructured data from websitesWhere can I find a dataset for long sequence text chunking?What is in-domain and out-domain exactly in language model and How can we distinguish in-domain and out-of-domain data?Automating scoring of answers for a given questionTraining NLP with multiple text input featuresHow to calculate which word fits the best given a context and possible words?
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How to find possible subjects for given verb in everyday object domain
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsNamed Entity Recognition: NLTK using Regular ExpressionDocument Categorization ProblemHow to automatically find the sentiment?Determining usage/context of terms/acronyms/abbreviations in pythonProper/Possible methods for extracting unstructured data from websitesWhere can I find a dataset for long sequence text chunking?What is in-domain and out-domain exactly in language model and How can we distinguish in-domain and out-of-domain data?Automating scoring of answers for a given questionTraining NLP with multiple text input featuresHow to calculate which word fits the best given a context and possible words?
$begingroup$
I am asking for tools (possibly in NLTK) or papers that talk about the following:
e.g. Input: Vase(Subject1) put(verb)
Ans I am looking for: flower, water
Is there a tool that can output subjects (objects) that can be associated to this verb? (I was going through VerbNet but didn't find anything)
nlp nltk
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
$endgroup$
add a comment |
$begingroup$
I am asking for tools (possibly in NLTK) or papers that talk about the following:
e.g. Input: Vase(Subject1) put(verb)
Ans I am looking for: flower, water
Is there a tool that can output subjects (objects) that can be associated to this verb? (I was going through VerbNet but didn't find anything)
nlp nltk
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
$endgroup$
2
$begingroup$
It is not natural English to say "Vase put ...". A speaker might say "I put water in the vase" or as a request (to un-mentioned listener) "Put water in the vase". In both cases the vase here would be a referred object and not the subject (compared to "The vase is green" or "The glass vase broke" where the vase is the subject). I don't think that changes the question substantially, but you may want to work on a clearer example
$endgroup$
– Neil Slater
Apr 2 at 17:21
$begingroup$
If you want Subject, Verb, Object for your vase example, you might simply change it to "Vase (subject) contains (verb)" or "Vase (subject) holds (verb)" - but if you really want to parse a request for putting something in a vase, then that would be different
$endgroup$
– Neil Slater
Apr 2 at 17:34
add a comment |
$begingroup$
I am asking for tools (possibly in NLTK) or papers that talk about the following:
e.g. Input: Vase(Subject1) put(verb)
Ans I am looking for: flower, water
Is there a tool that can output subjects (objects) that can be associated to this verb? (I was going through VerbNet but didn't find anything)
nlp nltk
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
$endgroup$
I am asking for tools (possibly in NLTK) or papers that talk about the following:
e.g. Input: Vase(Subject1) put(verb)
Ans I am looking for: flower, water
Is there a tool that can output subjects (objects) that can be associated to this verb? (I was going through VerbNet but didn't find anything)
nlp nltk
nlp nltk
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
asked Apr 2 at 16:25
ARPIT PRASHANT BAHETYARPIT PRASHANT BAHETY
61
61
2
$begingroup$
It is not natural English to say "Vase put ...". A speaker might say "I put water in the vase" or as a request (to un-mentioned listener) "Put water in the vase". In both cases the vase here would be a referred object and not the subject (compared to "The vase is green" or "The glass vase broke" where the vase is the subject). I don't think that changes the question substantially, but you may want to work on a clearer example
$endgroup$
– Neil Slater
Apr 2 at 17:21
$begingroup$
If you want Subject, Verb, Object for your vase example, you might simply change it to "Vase (subject) contains (verb)" or "Vase (subject) holds (verb)" - but if you really want to parse a request for putting something in a vase, then that would be different
$endgroup$
– Neil Slater
Apr 2 at 17:34
add a comment |
2
$begingroup$
It is not natural English to say "Vase put ...". A speaker might say "I put water in the vase" or as a request (to un-mentioned listener) "Put water in the vase". In both cases the vase here would be a referred object and not the subject (compared to "The vase is green" or "The glass vase broke" where the vase is the subject). I don't think that changes the question substantially, but you may want to work on a clearer example
$endgroup$
– Neil Slater
Apr 2 at 17:21
$begingroup$
If you want Subject, Verb, Object for your vase example, you might simply change it to "Vase (subject) contains (verb)" or "Vase (subject) holds (verb)" - but if you really want to parse a request for putting something in a vase, then that would be different
$endgroup$
– Neil Slater
Apr 2 at 17:34
2
2
$begingroup$
It is not natural English to say "Vase put ...". A speaker might say "I put water in the vase" or as a request (to un-mentioned listener) "Put water in the vase". In both cases the vase here would be a referred object and not the subject (compared to "The vase is green" or "The glass vase broke" where the vase is the subject). I don't think that changes the question substantially, but you may want to work on a clearer example
$endgroup$
– Neil Slater
Apr 2 at 17:21
$begingroup$
It is not natural English to say "Vase put ...". A speaker might say "I put water in the vase" or as a request (to un-mentioned listener) "Put water in the vase". In both cases the vase here would be a referred object and not the subject (compared to "The vase is green" or "The glass vase broke" where the vase is the subject). I don't think that changes the question substantially, but you may want to work on a clearer example
$endgroup$
– Neil Slater
Apr 2 at 17:21
$begingroup$
If you want Subject, Verb, Object for your vase example, you might simply change it to "Vase (subject) contains (verb)" or "Vase (subject) holds (verb)" - but if you really want to parse a request for putting something in a vase, then that would be different
$endgroup$
– Neil Slater
Apr 2 at 17:34
$begingroup$
If you want Subject, Verb, Object for your vase example, you might simply change it to "Vase (subject) contains (verb)" or "Vase (subject) holds (verb)" - but if you really want to parse a request for putting something in a vase, then that would be different
$endgroup$
– Neil Slater
Apr 2 at 17:34
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
If you want something quick, I think pattern is the best tool for the job. It provides a ready-to-use multilingual parser that you can use in the following way:
import pattern
from pattern.en import parse
s = 'I put water in the vase'
s = parse(s)
print s
# output = I/PRP/B-NP/O put/VBP/B-VP/O water/NN/B-NP/O in/IN/B-PP/B-PNP the/DT/B-NP/I-PNP vase/NN/I-NP/I-PNP
Once you have a string like output above, you only need regex parsing to extract every sequence of tokens whose tags match the sequence [B-NP, B-VP, B-NP].
NP stands for "noun phrase" and VP stands for "verb phrase". In English, virtually every sequence consisting of a noun phrase, a verb phrase, and a second noun phrase, all in strict adjacency, is a subject-verb-object sequence, so this should give you what you're looking for.
pattern's parser will also be able to handle some non-strict adjacencies (e.g. intervening adverbs and adjectives between the three phrases in the subject-verb-object sequence).
However, pattern is not terribly sophisticated -this will give you some Precision and some Recall, but not terribly high numbers. If you need high-quality parsing, you should try the Stanford parser's Python implementation or spacy.
Hope this helps!
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
$endgroup$
add a comment |
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1 Answer
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1 Answer
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active
oldest
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votes
$begingroup$
If you want something quick, I think pattern is the best tool for the job. It provides a ready-to-use multilingual parser that you can use in the following way:
import pattern
from pattern.en import parse
s = 'I put water in the vase'
s = parse(s)
print s
# output = I/PRP/B-NP/O put/VBP/B-VP/O water/NN/B-NP/O in/IN/B-PP/B-PNP the/DT/B-NP/I-PNP vase/NN/I-NP/I-PNP
Once you have a string like output above, you only need regex parsing to extract every sequence of tokens whose tags match the sequence [B-NP, B-VP, B-NP].
NP stands for "noun phrase" and VP stands for "verb phrase". In English, virtually every sequence consisting of a noun phrase, a verb phrase, and a second noun phrase, all in strict adjacency, is a subject-verb-object sequence, so this should give you what you're looking for.
pattern's parser will also be able to handle some non-strict adjacencies (e.g. intervening adverbs and adjectives between the three phrases in the subject-verb-object sequence).
However, pattern is not terribly sophisticated -this will give you some Precision and some Recall, but not terribly high numbers. If you need high-quality parsing, you should try the Stanford parser's Python implementation or spacy.
Hope this helps!
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
$endgroup$
add a comment |
$begingroup$
If you want something quick, I think pattern is the best tool for the job. It provides a ready-to-use multilingual parser that you can use in the following way:
import pattern
from pattern.en import parse
s = 'I put water in the vase'
s = parse(s)
print s
# output = I/PRP/B-NP/O put/VBP/B-VP/O water/NN/B-NP/O in/IN/B-PP/B-PNP the/DT/B-NP/I-PNP vase/NN/I-NP/I-PNP
Once you have a string like output above, you only need regex parsing to extract every sequence of tokens whose tags match the sequence [B-NP, B-VP, B-NP].
NP stands for "noun phrase" and VP stands for "verb phrase". In English, virtually every sequence consisting of a noun phrase, a verb phrase, and a second noun phrase, all in strict adjacency, is a subject-verb-object sequence, so this should give you what you're looking for.
pattern's parser will also be able to handle some non-strict adjacencies (e.g. intervening adverbs and adjectives between the three phrases in the subject-verb-object sequence).
However, pattern is not terribly sophisticated -this will give you some Precision and some Recall, but not terribly high numbers. If you need high-quality parsing, you should try the Stanford parser's Python implementation or spacy.
Hope this helps!
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
$endgroup$
add a comment |
$begingroup$
If you want something quick, I think pattern is the best tool for the job. It provides a ready-to-use multilingual parser that you can use in the following way:
import pattern
from pattern.en import parse
s = 'I put water in the vase'
s = parse(s)
print s
# output = I/PRP/B-NP/O put/VBP/B-VP/O water/NN/B-NP/O in/IN/B-PP/B-PNP the/DT/B-NP/I-PNP vase/NN/I-NP/I-PNP
Once you have a string like output above, you only need regex parsing to extract every sequence of tokens whose tags match the sequence [B-NP, B-VP, B-NP].
NP stands for "noun phrase" and VP stands for "verb phrase". In English, virtually every sequence consisting of a noun phrase, a verb phrase, and a second noun phrase, all in strict adjacency, is a subject-verb-object sequence, so this should give you what you're looking for.
pattern's parser will also be able to handle some non-strict adjacencies (e.g. intervening adverbs and adjectives between the three phrases in the subject-verb-object sequence).
However, pattern is not terribly sophisticated -this will give you some Precision and some Recall, but not terribly high numbers. If you need high-quality parsing, you should try the Stanford parser's Python implementation or spacy.
Hope this helps!
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
$endgroup$
If you want something quick, I think pattern is the best tool for the job. It provides a ready-to-use multilingual parser that you can use in the following way:
import pattern
from pattern.en import parse
s = 'I put water in the vase'
s = parse(s)
print s
# output = I/PRP/B-NP/O put/VBP/B-VP/O water/NN/B-NP/O in/IN/B-PP/B-PNP the/DT/B-NP/I-PNP vase/NN/I-NP/I-PNP
Once you have a string like output above, you only need regex parsing to extract every sequence of tokens whose tags match the sequence [B-NP, B-VP, B-NP].
NP stands for "noun phrase" and VP stands for "verb phrase". In English, virtually every sequence consisting of a noun phrase, a verb phrase, and a second noun phrase, all in strict adjacency, is a subject-verb-object sequence, so this should give you what you're looking for.
pattern's parser will also be able to handle some non-strict adjacencies (e.g. intervening adverbs and adjectives between the three phrases in the subject-verb-object sequence).
However, pattern is not terribly sophisticated -this will give you some Precision and some Recall, but not terribly high numbers. If you need high-quality parsing, you should try the Stanford parser's Python implementation or spacy.
Hope this helps!
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
answered Apr 3 at 5:14
JordiCarreraJordiCarrera
713
713
add a comment |
add a comment |
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$begingroup$
It is not natural English to say "Vase put ...". A speaker might say "I put water in the vase" or as a request (to un-mentioned listener) "Put water in the vase". In both cases the vase here would be a referred object and not the subject (compared to "The vase is green" or "The glass vase broke" where the vase is the subject). I don't think that changes the question substantially, but you may want to work on a clearer example
$endgroup$
– Neil Slater
Apr 2 at 17:21
$begingroup$
If you want Subject, Verb, Object for your vase example, you might simply change it to "Vase (subject) contains (verb)" or "Vase (subject) holds (verb)" - but if you really want to parse a request for putting something in a vase, then that would be different
$endgroup$
– Neil Slater
Apr 2 at 17:34