SIF

Sentence Embedder

A Python implementation of a sentence embedding algorithm using the Smooth Inverse Frequency weighting scheme

sentence embedding by Smooth Inverse Frequency weighting scheme

GitHub

1k stars
34 watching
306 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
iarroyof/sentence_embeddingA method to convert word embeddings into sentence representations by applying entropy weights calculated from TFIDF transform.9
oborchers/fast_sentence_embeddingsA Python library for efficiently computing sentence embeddings from large datasets618
binwang28/sbert-wk-sentence-embeddingA method to generate sentence embeddings from pre-trained language models178
lajanugen/s2vAn implementation of a neural network model for learning efficient sentence representations from text data.205
fursovia/geometric_embeddingAn implementation of a non-parameterized approach for building sentence representations19
dfki-interactive-machine-learning/arasifProvides sentence embeddings for Arabic languages using pre-trained word embeddings and Smooth Inverse Frequency algorithm5
xiaoqijiao/coling2018Provides training and testing code for a CNN-based sentence embedding model2
wangyuxinwhy/uniemDevelops unified sentence embedding models for NLP tasks840
jwieting/acl2017A codebase for training and using models of sentence embeddings.33
jwieting/iclr2016Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks193
largelymfs/topical_word_embeddingsA Python implementation of a topical word embedding technique used in natural language processing and information retrieval.314
epfml/sent2vecAn unsupervised technique to generate numerical representations of sentences and words for use in machine learning tasks1,194
fh295/sentencerepresentationA software framework for learning sentence representations using unsupervised machine learning algorithms124
voidism/diffcseAn unsupervised contrastive learning framework for learning sentence embeddings sensitive to differences between original and edited sentences.292
bohanli/bert-flowAn implementation of a method to generate sentence embeddings from pre-trained language models using TensorFlow.530