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semantic-similarity

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tlatkowski / multihead-siamese-nets

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Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

nlp natural-language-processing deep-neural-networks deep-learning tensorflow text-similarity python3 attention semantic-similarity snli paraphrase deep-architectures sentence-similarity paraphrase-identification quora-question-pairs siamese-lstm siamese-neural-network multihead-attention siamese-cnn multihead-attention-networks
  • Updated May 20, 2020
  • Jupyter Notebook

celarex / STS-CNN-STSbenchmark-Semantic-Similarity-Semantic-Textual-Similarity-CNN-HCTI-Tensorflow-Keras

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A simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity."

python nlp natural-language-processing tensorflow keras cnn sts convolutional-neural-networks semantic-similarity natural-language-understanding semantic-textual-similarity stsbenchmark dataset-sts
  • Updated Feb 7, 2020
  • Python

monarch-initiative / owlsim-v3

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Documentation of similarity measures (and REST services)

matentzn
matentzn commented Apr 10, 2018

Is there any (single) place all these different matching algorithms you are using are documented? I would like to test some alternative similarity measures, as well as develop an approach to quantify the Hypothesis that an improved ontology can result in better similarity measurements. Thanks!

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