paragram-word
by jwieting
Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-999.This code was used to obtain results in the appendix of our 2015 TACL paper "From Paraphrase Database to Compositional Paraphrase Model and Back".
AI summary
Word embeddings trainer
Trains word embeddings from a paraphrase database to represent semantic relationships between words.
- stars
- 30
- forks
- 12
- watching
- 3
Similar projects
Found by comparing what the projects do, not just their names.
Embedding models
Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks
Sentence embedding training toolkit
A collection of pre-trained models and code for training paraphrastic sentence embeddings from large machine translation datasets.
Sentence embedding models
A codebase for training and using models of sentence embeddings.
N-gram embedder
A tool for training and using character n-gram based word and sentence embeddings in natural language processing.
Embeddings
Provides fast and efficient word embeddings for natural language processing.
Word embedding model
A PyTorch implementation of the skip-gram model for learning word embeddings.
Sentence Embedder
Provides training and testing code for a CNN-based sentence embedding model
Word embedding trainer
Improves word embeddings by training with adversarial objectives
Character embedding generator
This repository provides an unsupervised approach to learning character-aware word and context embeddings.
Embedding benchmarking tool
Provides methods for evaluating word embeddings on various benchmarks
Word embedding model
A project implementing a method to incorporate morphological information into word embeddings using a neural network model
Sense embedding analysis tools
Tools and techniques for analyzing word meanings from word embeddings
Embedding library
Provides access to pre-trained word embeddings for NLP tasks.
Word embedding model
A framework to learn word embeddings using lexical dictionaries
Word embedding model
A Python implementation of a neural network model for learning word embeddings from text data
