104 Open source projects that are alternatives of or similar to context2vec

Word Embeddings for Information Retrieval

A curated list of pretrained sentence and word embedding models

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

A pipeline for training word embeddings using word2vec on wikipedia corpus.

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）

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.

NLP tutorial

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

R wrapper for fastText

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Java interface for fastText

A little game powered by word vectors

Text preprocessing, representation and visualization from zero to hero.

Named-Entity Recognition in Persian Language

Topic Modelling for Humans

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

[NeurIPS 2019] Spherical Text Embedding

Word2VecfJava: Java implementation of Dependency-Based Word Embeddings and extensions

dna2vec: Consistent vector representations of variable-length k-mers

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Exploring the simple sentence similarity measurements using word embeddings

A word2vec negative sampling implementation with correct CBOW update.

Python Framework for Extractive Text Summarization

Benchmarks for intrinsic word embeddings evaluation.

Generating multiple choice questions from text using Machine Learning.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Danish Semantic analysis

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Code for Supervised Word Mover's Distance (SWMD)

Remove problematic gender bias from word embeddings.

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

SImple SenTence EmbeddeR

FastText for Node.js

Tools for shrinking fastText models (in gensim format)

Beautiful visualizations of how language differs among document types.

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Implementation of Siamese CBOW using keras whose backend is tensorflow.

Kadot, the unsupervised natural language processing library.

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

A fast, efficient universal vector embedding utility package.

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Train Wikidata with word2vec for word embedding tasks

Public release of data and code for materials synthesis generation

The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

Arabic Word Embeddings Word2vec

Spanish word embeddings computed with different methods and from different corpora