Scikit-learn vectorizer implementing "A simple but tough-to-beat baseline for sentence embeddings." by Arora, Sanjeev, Yingyu Liang, and Tengyu Ma. (2016)
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Updated
Apr 1, 2018 - Python
Scikit-learn vectorizer implementing "A simple but tough-to-beat baseline for sentence embeddings." by Arora, Sanjeev, Yingyu Liang, and Tengyu Ma. (2016)
TensorFlow Implementation of Structured-Self-Attentive-Sentence-Embedding.
comparation of diffrent approaches of sentence embedding
Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)
Voice Conversion with GANs
TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)
My toy model for natural language inference task.
Find similar sentences using Tensorflow Hub for English Wikipedia
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
Pytorch implementation of the paper "Learning to Embed Sentences Using Attentive Recursive Trees".
Tensorflow implementation of the model presented in Enhancing Sentence Embedding with Generalized Pooling
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition
A Structured Self-attentive Sentence Embedding
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Similar sentence Prediction with more accurate results with your dataset on top of pertained model. #BERT
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
This tool provides some implementations of sentence to vector. (sentence2vec)
Solving the story cloze task with sentence embeddings (TensorFlow).
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