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
1k stars
34 watching
306 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
separius/awesome-sentence-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 iarroyof/sentence_embedding | A method to convert word embeddings into sentence representations by applying entropy weights calculated from TFIDF transform. | 9 |
 oborchers/fast_sentence_embeddings | A Python library for efficiently computing sentence embeddings from large datasets | 618 |
 binwang28/sbert-wk-sentence-embedding | A method to generate sentence embeddings from pre-trained language models | 177 |
 lajanugen/s2v | An implementation of a neural network model for learning efficient sentence representations from text data. | 205 |
 fursovia/geometric_embedding | An implementation of a non-parameterized approach for building sentence representations | 19 |
 dfki-interactive-machine-learning/arasif | Provides sentence embeddings for Arabic languages using pre-trained word embeddings and Smooth Inverse Frequency algorithm | 5 |
 xiaoqijiao/coling2018 | Provides training and testing code for a CNN-based sentence embedding model | 2 |
 wangyuxinwhy/uniem | Develops unified sentence embedding models for NLP tasks | 833 |
 jwieting/acl2017 | A codebase for training and using models of sentence embeddings. | 33 |
| jwieting/iclr2016 | Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
 largelymfs/topical_word_embeddings | A codebase implementing topical word embeddings using various NLP techniques as demonstrated in a paper accepted by AAAI'15. | 315 |
 epfml/sent2vec | An unsupervised technique to generate numerical representations of sentences and words for use in machine learning tasks | 1,193 |
 fh295/sentencerepresentation | A software framework for learning sentence representations using unsupervised machine learning algorithms | 124 |
 voidism/diffcse | An unsupervised contrastive learning framework for learning sentence embeddings sensitive to differences between original and edited sentences. | 291 |
 bohanli/bert-flow | A TensorFlow implementation of sentence embedding from pre-trained language models | 529 |