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    1GitHub - RaRe-Technologies/gensim-data: Data repository for pretrained NLP models and NLP corpora.
     

    Data repository for pretrained NLP models and NLP corpora. - RaRe-Technologies/gensim-data
    7 years ago by @schwemmlein
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      1How to easily do Topic Modeling with LSA, PSLA, LDA & lda2Vec
       

      In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
      8 years ago by @schwemmlein
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        1An overview of word embeddings and their connection to distributional semantic models
         

        http://blog.aylien.com/overview-word-embeddings-history-word2vec-cbow-glove/
        8 years ago by @schwemmlein
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          2Assessing Social and Intersectional Biases in Contextualized Word Representations
           

          Y. Tan, and L. Celis. NeurIPS, (2019)cite arxiv:1911.01485Comment: NeurIPS 2019.
          5 years ago by @schwemmlein
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            2Jointly Learning Word Embeddings and Latent Topics.
             

            B. Shi, W. Lam, S. Jameel, S. Schockaert, and K. Lai. SIGIR, page 375-384. ACM, (2017)
            7 years ago by @schwemmlein
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