Does POS tagging help ELMo embeddings? Also issue of a lot of false positives in case of similarity measure.
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I was trying to find the similarity for two sentences and was wondering whether ELMo embeddings considered the POS tagging concept while creating the vector output for a sentence.If not, if i input my sentence with pos tags(say with SpaCy) will it create a different vector representations?
I also faced issues with similarity function that it is giving a lot of false positives. i.e. the sentence that has somewhat different meaning is also giving pretty high similarity scores and is not able to differentiate between the real deal and the not so real deal.
nlp stanford-nlp spacy pos-tagging glove
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I was trying to find the similarity for two sentences and was wondering whether ELMo embeddings considered the POS tagging concept while creating the vector output for a sentence.If not, if i input my sentence with pos tags(say with SpaCy) will it create a different vector representations?
I also faced issues with similarity function that it is giving a lot of false positives. i.e. the sentence that has somewhat different meaning is also giving pretty high similarity scores and is not able to differentiate between the real deal and the not so real deal.
nlp stanford-nlp spacy pos-tagging glove
add a comment |
I was trying to find the similarity for two sentences and was wondering whether ELMo embeddings considered the POS tagging concept while creating the vector output for a sentence.If not, if i input my sentence with pos tags(say with SpaCy) will it create a different vector representations?
I also faced issues with similarity function that it is giving a lot of false positives. i.e. the sentence that has somewhat different meaning is also giving pretty high similarity scores and is not able to differentiate between the real deal and the not so real deal.
nlp stanford-nlp spacy pos-tagging glove
I was trying to find the similarity for two sentences and was wondering whether ELMo embeddings considered the POS tagging concept while creating the vector output for a sentence.If not, if i input my sentence with pos tags(say with SpaCy) will it create a different vector representations?
I also faced issues with similarity function that it is giving a lot of false positives. i.e. the sentence that has somewhat different meaning is also giving pretty high similarity scores and is not able to differentiate between the real deal and the not so real deal.
nlp stanford-nlp spacy pos-tagging glove
nlp stanford-nlp spacy pos-tagging glove
asked Jan 3 at 13:14


Arpit SahArpit Sah
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