Noun Verb Associationfinding noun and verb in stanford parsergetting nouns and verbs from wordnetParsing Matching Multiple Possible Strings in a Text Adventure.Convert words between verb/noun/adjective formsGet noun from verb WordnetIdentify the word as a noun, verb or adjectiveNLP verb to noun in PrologUsing a list for a feature in an ML modelFind the corresponding nouns or verbs of adjectives and adverbs in an English sentenceGenerate set of Nouns and verbs from n different descriptions, list out descriptions that match a noun and verb
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Noun Verb Association
finding noun and verb in stanford parsergetting nouns and verbs from wordnetParsing Matching Multiple Possible Strings in a Text Adventure.Convert words between verb/noun/adjective formsGet noun from verb WordnetIdentify the word as a noun, verb or adjectiveNLP verb to noun in PrologUsing a list for a feature in an ML modelFind the corresponding nouns or verbs of adjectives and adverbs in an English sentenceGenerate set of Nouns and verbs from n different descriptions, list out descriptions that match a noun and verb
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;
I have a list of actions in the form of "[verb] x [preposition] y".
For example, "throw x at y".
I also have a list of objects and then a permutated list of those objects for every x and y combination.
What I'm trying to do is to be able to select only combinations which make the most sense.
For example, "throw house at rock" doesn't make much sense but "throw rock at house" does.
Are there any pretrained models or libraries that could help with this task?
machine-learning nlp data-science natural-language-processing
add a comment |
I have a list of actions in the form of "[verb] x [preposition] y".
For example, "throw x at y".
I also have a list of objects and then a permutated list of those objects for every x and y combination.
What I'm trying to do is to be able to select only combinations which make the most sense.
For example, "throw house at rock" doesn't make much sense but "throw rock at house" does.
Are there any pretrained models or libraries that could help with this task?
machine-learning nlp data-science natural-language-processing
add a comment |
I have a list of actions in the form of "[verb] x [preposition] y".
For example, "throw x at y".
I also have a list of objects and then a permutated list of those objects for every x and y combination.
What I'm trying to do is to be able to select only combinations which make the most sense.
For example, "throw house at rock" doesn't make much sense but "throw rock at house" does.
Are there any pretrained models or libraries that could help with this task?
machine-learning nlp data-science natural-language-processing
I have a list of actions in the form of "[verb] x [preposition] y".
For example, "throw x at y".
I also have a list of objects and then a permutated list of those objects for every x and y combination.
What I'm trying to do is to be able to select only combinations which make the most sense.
For example, "throw house at rock" doesn't make much sense but "throw rock at house" does.
Are there any pretrained models or libraries that could help with this task?
machine-learning nlp data-science natural-language-processing
machine-learning nlp data-science natural-language-processing
asked Mar 9 at 2:26
mattmatt
1
1
add a comment |
add a comment |
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