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

A word2vec negative sampling implementation with correct CBOW update.

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

Benchmarks for intrinsic word embeddings evaluation.

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

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

Tools for shrinking fastText models (in gensim format)

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.

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

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

Code for Supervised Word Mover's Distance (SWMD)

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

Beautiful visualizations of how language differs among document types.

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

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

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

Generating multiple choice questions from text using Machine Learning.

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

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

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

Remove problematic gender bias from word embeddings.

Danish Semantic analysis

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

Implementation of Siamese CBOW using keras whose backend is tensorflow.

FastText for Node.js

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

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

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

A little game powered by word vectors

NLP tutorial

Train Wikidata with word2vec for word embedding tasks

Exploring the simple sentence similarity measurements using word embeddings

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

Spanish word embeddings computed with different methods and from different corpora

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

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

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

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

Public release of data and code for materials synthesis generation

Java interface for fastText

Arabic Word Embeddings Word2vec

Word Embeddings for Information Retrieval

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

Text preprocessing, representation and visualization from zero to hero.

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

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）

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

Topic Modelling for Humans

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

A curated list of pretrained sentence and word embedding models

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

[NeurIPS 2019] Spherical Text Embedding

Named-Entity Recognition in Persian Language

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

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

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!

Codenames AI using Word Vectors

Sentiment Analysis: Deep Bi-LSTM+attention model

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

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

SImple SenTence EmbeddeR