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Given an input phrase, is there a way I can find the most similar phrase within a document?



The 2019 Stack Overflow Developer Survey Results Are InBest way to search for a similar document given the ngramFinding the top K most similar setsIs there a way to measure correlation between two similar datasets?Doc2vec(gensim) - How to calculate the most similar sentence and get its label?Deep Learning - Find most similar images - Triplets vs PairsFinding the most phonetically similar word from WordNetWhat would be the best way to map similar ngramsany efficient way to find surrounding adjective/verbs with respect to the target phrase in python [updated]?Is there a way to automatically generate a string given an input of another string?How can I find the perplexity of a text by the perplexity of its sentences?










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$begingroup$


I am completing a task where I need to retrieve the corresponding values to a set of given labels from many legal contracts.



For example, one of the labels is "Floating rate payment dates" and it's value will be a list of dates. Across the many contracts, the wording of this label can vary quite a bit (e.g. "Variable" instead of "Floating", etc.)



Is there any algorithm I can use that can take as input my "master" label and the entire document, search through the document and return the phrase (substring) from the document that is most similar to the master label?



I am open to any approaches, even the possibility of somehow applying SOTA techniques, such as Google's BERT model, if this is any way possible










share|improve this question









$endgroup$
















    0












    $begingroup$


    I am completing a task where I need to retrieve the corresponding values to a set of given labels from many legal contracts.



    For example, one of the labels is "Floating rate payment dates" and it's value will be a list of dates. Across the many contracts, the wording of this label can vary quite a bit (e.g. "Variable" instead of "Floating", etc.)



    Is there any algorithm I can use that can take as input my "master" label and the entire document, search through the document and return the phrase (substring) from the document that is most similar to the master label?



    I am open to any approaches, even the possibility of somehow applying SOTA techniques, such as Google's BERT model, if this is any way possible










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I am completing a task where I need to retrieve the corresponding values to a set of given labels from many legal contracts.



      For example, one of the labels is "Floating rate payment dates" and it's value will be a list of dates. Across the many contracts, the wording of this label can vary quite a bit (e.g. "Variable" instead of "Floating", etc.)



      Is there any algorithm I can use that can take as input my "master" label and the entire document, search through the document and return the phrase (substring) from the document that is most similar to the master label?



      I am open to any approaches, even the possibility of somehow applying SOTA techniques, such as Google's BERT model, if this is any way possible










      share|improve this question









      $endgroup$




      I am completing a task where I need to retrieve the corresponding values to a set of given labels from many legal contracts.



      For example, one of the labels is "Floating rate payment dates" and it's value will be a list of dates. Across the many contracts, the wording of this label can vary quite a bit (e.g. "Variable" instead of "Floating", etc.)



      Is there any algorithm I can use that can take as input my "master" label and the entire document, search through the document and return the phrase (substring) from the document that is most similar to the master label?



      I am open to any approaches, even the possibility of somehow applying SOTA techniques, such as Google's BERT model, if this is any way possible







      nlp similarity natural-language-process






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 29 at 11:53









      KOBKOB

      1242




      1242




















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