A monolingual and cross-lingual meta-embedding generation and evaluation framework
-
Updated
Apr 29, 2022 - Python
A monolingual and cross-lingual meta-embedding generation and evaluation framework
My solution to the Global Data Science Challenge
Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)
A monolingual and cross-lingual meta-embedding generation framework
Implementation of Meta-Word-Embeddings, a combination of word2vec, GloVe, and fassttext word embeddings using various types of autoencoders.
Add a description, image, and links to the meta-embeddings topic page so that developers can more easily learn about it.
To associate your repository with the meta-embeddings topic, visit your repo's landing page and select "manage topics."