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How to find the associated nouns to a preposition


How to validate an email address in JavaScript?How to validate an email address using a regular expression?How do you access the matched groups in a JavaScript regular expression?How do you use a variable in a regular expression?How do I make the first letter of a string uppercase in JavaScript?How to replace all occurrences of a string in JavaScriptExtracting phrase n-grams from a sentence corresponding to the main verbTextBlob Naive Bayes. Choosing highest likelihoodSpacy to extract specific noun phraseNoun Verb Association






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0















given a sentence "extinguish the fire in front of the table which is to the right of stool which is to the left of cone then go towards the chair"



we as humans can easily identify the nouns associated with prepositions like



in front of->(fire,table)



to right of ->(table,stool)



towards ->(chair)



we have learnt this through trial and error and practise, but how can I formulate it into some pattern which is applicable globally to all sentences to find the nouns associated , given the prepositions.



So, I would like to know, what pattern (like Verb,preposition,noun etc.) would help me get the nouns associated with the given preposition Thanks.










share|improve this question






















  • Prepositional phrase attachment is a hard problem. It is not generally amenable to solution using regular expressions unless your data is very highly constrained. Here's a recent paper lsi.upc.edu/~aquattoni/AllMyPapers/iwpt2017.pdf And here's a search with pointers of lots of papers if you're interested: scholar.google.com/scholar?&q=preposition%20attachment You may have some luck with using sentence parses. This chapter of the NLTK book talks about the problem a little bit: nltk.org/book/ch08.html

    – scratchpad
    Mar 18 at 14:57












  • Well thanks I went forward to do it the hard way. i.e Rule-based approach since the application i'm dealing with has sentences with more or less similar structure.Thanks for the papers though.

    – Aditya Vartak
    Mar 18 at 15:55

















0















given a sentence "extinguish the fire in front of the table which is to the right of stool which is to the left of cone then go towards the chair"



we as humans can easily identify the nouns associated with prepositions like



in front of->(fire,table)



to right of ->(table,stool)



towards ->(chair)



we have learnt this through trial and error and practise, but how can I formulate it into some pattern which is applicable globally to all sentences to find the nouns associated , given the prepositions.



So, I would like to know, what pattern (like Verb,preposition,noun etc.) would help me get the nouns associated with the given preposition Thanks.










share|improve this question






















  • Prepositional phrase attachment is a hard problem. It is not generally amenable to solution using regular expressions unless your data is very highly constrained. Here's a recent paper lsi.upc.edu/~aquattoni/AllMyPapers/iwpt2017.pdf And here's a search with pointers of lots of papers if you're interested: scholar.google.com/scholar?&q=preposition%20attachment You may have some luck with using sentence parses. This chapter of the NLTK book talks about the problem a little bit: nltk.org/book/ch08.html

    – scratchpad
    Mar 18 at 14:57












  • Well thanks I went forward to do it the hard way. i.e Rule-based approach since the application i'm dealing with has sentences with more or less similar structure.Thanks for the papers though.

    – Aditya Vartak
    Mar 18 at 15:55













0












0








0








given a sentence "extinguish the fire in front of the table which is to the right of stool which is to the left of cone then go towards the chair"



we as humans can easily identify the nouns associated with prepositions like



in front of->(fire,table)



to right of ->(table,stool)



towards ->(chair)



we have learnt this through trial and error and practise, but how can I formulate it into some pattern which is applicable globally to all sentences to find the nouns associated , given the prepositions.



So, I would like to know, what pattern (like Verb,preposition,noun etc.) would help me get the nouns associated with the given preposition Thanks.










share|improve this question














given a sentence "extinguish the fire in front of the table which is to the right of stool which is to the left of cone then go towards the chair"



we as humans can easily identify the nouns associated with prepositions like



in front of->(fire,table)



to right of ->(table,stool)



towards ->(chair)



we have learnt this through trial and error and practise, but how can I formulate it into some pattern which is applicable globally to all sentences to find the nouns associated , given the prepositions.



So, I would like to know, what pattern (like Verb,preposition,noun etc.) would help me get the nouns associated with the given preposition Thanks.







regex nlp nltk spacy natural-language-processing






share|improve this question













share|improve this question











share|improve this question




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asked Mar 9 at 2:53









Aditya VartakAditya Vartak

196




196












  • Prepositional phrase attachment is a hard problem. It is not generally amenable to solution using regular expressions unless your data is very highly constrained. Here's a recent paper lsi.upc.edu/~aquattoni/AllMyPapers/iwpt2017.pdf And here's a search with pointers of lots of papers if you're interested: scholar.google.com/scholar?&q=preposition%20attachment You may have some luck with using sentence parses. This chapter of the NLTK book talks about the problem a little bit: nltk.org/book/ch08.html

    – scratchpad
    Mar 18 at 14:57












  • Well thanks I went forward to do it the hard way. i.e Rule-based approach since the application i'm dealing with has sentences with more or less similar structure.Thanks for the papers though.

    – Aditya Vartak
    Mar 18 at 15:55

















  • Prepositional phrase attachment is a hard problem. It is not generally amenable to solution using regular expressions unless your data is very highly constrained. Here's a recent paper lsi.upc.edu/~aquattoni/AllMyPapers/iwpt2017.pdf And here's a search with pointers of lots of papers if you're interested: scholar.google.com/scholar?&q=preposition%20attachment You may have some luck with using sentence parses. This chapter of the NLTK book talks about the problem a little bit: nltk.org/book/ch08.html

    – scratchpad
    Mar 18 at 14:57












  • Well thanks I went forward to do it the hard way. i.e Rule-based approach since the application i'm dealing with has sentences with more or less similar structure.Thanks for the papers though.

    – Aditya Vartak
    Mar 18 at 15:55
















Prepositional phrase attachment is a hard problem. It is not generally amenable to solution using regular expressions unless your data is very highly constrained. Here's a recent paper lsi.upc.edu/~aquattoni/AllMyPapers/iwpt2017.pdf And here's a search with pointers of lots of papers if you're interested: scholar.google.com/scholar?&q=preposition%20attachment You may have some luck with using sentence parses. This chapter of the NLTK book talks about the problem a little bit: nltk.org/book/ch08.html

– scratchpad
Mar 18 at 14:57






Prepositional phrase attachment is a hard problem. It is not generally amenable to solution using regular expressions unless your data is very highly constrained. Here's a recent paper lsi.upc.edu/~aquattoni/AllMyPapers/iwpt2017.pdf And here's a search with pointers of lots of papers if you're interested: scholar.google.com/scholar?&q=preposition%20attachment You may have some luck with using sentence parses. This chapter of the NLTK book talks about the problem a little bit: nltk.org/book/ch08.html

– scratchpad
Mar 18 at 14:57














Well thanks I went forward to do it the hard way. i.e Rule-based approach since the application i'm dealing with has sentences with more or less similar structure.Thanks for the papers though.

– Aditya Vartak
Mar 18 at 15:55





Well thanks I went forward to do it the hard way. i.e Rule-based approach since the application i'm dealing with has sentences with more or less similar structure.Thanks for the papers though.

– Aditya Vartak
Mar 18 at 15:55












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