Word embeddings for Information Retrieval - Document search?












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What are good ways to find for single sentence (query) the most similiar document (text). I asked myself if word vectors (weighted average of the documents) are suitable to map a single sentence to a whole document?






nlp text-mining word2vec information-retrieval







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    1












    $begingroup$


    What are good ways to find for single sentence (query) the most similiar document (text). I asked myself if word vectors (weighted average of the documents) are suitable to map a single sentence to a whole document?






    nlp text-mining word2vec information-retrieval







    share|improve this question









    $endgroup$















      1












      1








      1


      1



      $begingroup$


      What are good ways to find for single sentence (query) the most similiar document (text). I asked myself if word vectors (weighted average of the documents) are suitable to map a single sentence to a whole document?






      nlp text-mining word2vec information-retrieval







      share|improve this question









      $endgroup$




      What are good ways to find for single sentence (query) the most similiar document (text). I asked myself if word vectors (weighted average of the documents) are suitable to map a single sentence to a whole document?






      nlp text-mining word2vec information-retrieval




      nlp text-mining word2vec information-retrieval






      share|improve this question













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      asked 16 hours ago









      TidoTido

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      596






















          1 Answer
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          $begingroup$

          Doc2Vec is on possible approach. With this, model learns to "cluster" similar sentences together.



          enter image description here



          Most simplistic approach is to aggregate word vectors but that ignores order of words. Details on few of the approaches :



          https://towardsdatascience.com/sentence-embedding-3053db22ea77
          https://medium.com/explorations-in-language-and-learning/how-to-obtain-sentence-vectors-2a6d88bd3c8b






          share|improve this answer









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          • $begingroup$
            I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
            $endgroup$
            – Tido
            13 hours ago










          • $begingroup$
            That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
            $endgroup$
            – Shamit Verma
            13 hours ago











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          1 Answer
          1






          active

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          active

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          active

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          $begingroup$

          Doc2Vec is on possible approach. With this, model learns to "cluster" similar sentences together.



          enter image description here



          Most simplistic approach is to aggregate word vectors but that ignores order of words. Details on few of the approaches :



          https://towardsdatascience.com/sentence-embedding-3053db22ea77
          https://medium.com/explorations-in-language-and-learning/how-to-obtain-sentence-vectors-2a6d88bd3c8b






          share|improve this answer









          $endgroup$













          • $begingroup$
            I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
            $endgroup$
            – Tido
            13 hours ago










          • $begingroup$
            That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
            $endgroup$
            – Shamit Verma
            13 hours ago
















          2












          $begingroup$

          Doc2Vec is on possible approach. With this, model learns to "cluster" similar sentences together.



          enter image description here



          Most simplistic approach is to aggregate word vectors but that ignores order of words. Details on few of the approaches :



          https://towardsdatascience.com/sentence-embedding-3053db22ea77
          https://medium.com/explorations-in-language-and-learning/how-to-obtain-sentence-vectors-2a6d88bd3c8b






          share|improve this answer









          $endgroup$













          • $begingroup$
            I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
            $endgroup$
            – Tido
            13 hours ago










          • $begingroup$
            That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
            $endgroup$
            – Shamit Verma
            13 hours ago














          2












          2








          2





          $begingroup$

          Doc2Vec is on possible approach. With this, model learns to "cluster" similar sentences together.



          enter image description here



          Most simplistic approach is to aggregate word vectors but that ignores order of words. Details on few of the approaches :



          https://towardsdatascience.com/sentence-embedding-3053db22ea77
          https://medium.com/explorations-in-language-and-learning/how-to-obtain-sentence-vectors-2a6d88bd3c8b






          share|improve this answer









          $endgroup$



          Doc2Vec is on possible approach. With this, model learns to "cluster" similar sentences together.



          enter image description here



          Most simplistic approach is to aggregate word vectors but that ignores order of words. Details on few of the approaches :



          https://towardsdatascience.com/sentence-embedding-3053db22ea77
          https://medium.com/explorations-in-language-and-learning/how-to-obtain-sentence-vectors-2a6d88bd3c8b







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered 13 hours ago









          Shamit VermaShamit Verma

          23613




          23613












          • $begingroup$
            I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
            $endgroup$
            – Tido
            13 hours ago










          • $begingroup$
            That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
            $endgroup$
            – Shamit Verma
            13 hours ago


















          • $begingroup$
            I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
            $endgroup$
            – Tido
            13 hours ago










          • $begingroup$
            That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
            $endgroup$
            – Shamit Verma
            13 hours ago
















          $begingroup$
          I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
          $endgroup$
          – Tido
          13 hours ago




          $begingroup$
          I thought of that too. But I wonder if this is suitable to map a single sentence to a text consisting with let's say 50 sentences?
          $endgroup$
          – Tido
          13 hours ago












          $begingroup$
          That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
          $endgroup$
          – Shamit Verma
          13 hours ago




          $begingroup$
          That is somewhat specific to problem. For example, this works very well for mapping sentences to WikiPedia articles (due to diversity of topics, separation is easier). It might not work as well if all documents are from very similar domains.
          $endgroup$
          – Shamit Verma
          13 hours ago


















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