word-embeddings-benchmarks
Embedding benchmarking tool
Provides methods for evaluating word embeddings on various benchmarks
Package for evaluating word embeddings
437 stars
20 watching
110 forks
Language: Python
last commit: about 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An evaluation framework for Polish word embeddings prepared by various research groups using analogy tasks. | 4 |
| An implementation of a word embedding technique using TensorFlow for Thai language processing | 11 |
| Provides tools and benchmarks for evaluating text embedding models | 2,021 |
| A utility class for generating and evaluating document representations using word embeddings. | 54 |
| Provides fast and efficient word embeddings for natural language processing. | 223 |
| Trains word embeddings from a paraphrase database to represent semantic relationships between words. | 30 |
| A method to generate sentence embeddings from pre-trained language models | 178 |
| A tool for training and using character n-gram based word and sentence embeddings in natural language processing. | 125 |
| A pre-trained word embedding model informed by a large-scale knowledge graph, providing a nuanced representation of word meanings. | 1,296 |
| An Ember application benchmarking tool to measure the effects of small changes on web applications. | 25 |
| Demonstrates word embedding in Indonesian language using pre-trained Word2vec models | 20 |
| This project generates Spanish word embeddings using fastText on large corpora. | 9 |
| A tool for designing and running benchmarking experiments in JavaScript to measure the performance of code | 563 |
| A deep learning model that generates word embeddings by predicting words based on their dependency context | 291 |
| Provides pre-trained protein embeddings and benchmarking tools for semi-supervised learning tasks in protein biology | 671 |