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

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

Benchmarks for intrinsic word embeddings evaluation.

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

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

SImple SenTence EmbeddeR

🍘 単語分割を経由しない単語埋め込み 🍘

Tools for shrinking fastText models (in gensim format)

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Code for Supervised Word Mover's Distance (SWMD)

Sentiment Analysis: Deep Bi-LSTM+attention model

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

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

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Implementation of Siamese CBOW using keras whose backend is tensorflow.

Word Embeddings (e.g. Word2Vec) in Go!

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

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

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

A Modern C++ Data Sciences Toolkit

Danish Semantic analysis

Codenames AI using Word Vectors

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

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

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

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Train Wikidata with word2vec for word embedding tasks

Exploring the simple sentence similarity measurements using word embeddings

Programs with word vectors, RNN, NLP stuff, etc

Public release of data and code for materials synthesis generation

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

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

Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

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

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

A little game powered by word vectors

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

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

Simple downloader for pre-trained word vectors

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

Text processing library for sentiment analysis and related tasks

Arabic Word Embeddings Word2vec

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings

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

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Named-Entity Recognition in Persian Language

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

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!

A collection of notebooks for Natural Language Processing from NLP Town

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

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

NLP tutorial

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

An algorithm to augment syntactic hierarchy into word embeddings

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

PyTorch implementation of context2vec from Melamud et al., CoNLL 2016