-
Intrinsic evaluations of word embeddings: What can we do better?
This dataset has no description
-
Problems with evaluation of word embeddings using word similarity tasks
This dataset has no description
-
Improving zero-shot learning by mitigating the hubness problem
This dataset has no description
-
Distributed representations of words and phrases and their compositionality
The word2vec dataset is a word embedding dataset that contains 3 million words. -
Improving distributional similarity with lessons learned from word embeddings
This dataset has no description
-
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some ...
This paper describes a preliminary study for producing and distributing a large-scale database of embeddings from the Portuguese Twitter stream. -
Word2Vec Dataset
The Word2Vec dataset. -
Learning Sentiment-Specific Word Embeddings from Distant Supervision
Sentiment-specific word embeddings dataset -
Wikipedia2Vec dataset
The dataset used in the paper is the Wikipedia2Vec dataset, which contains word embeddings. -
Retroļ¬tting word vectors to semantic lexicons
PPDB is a paraphrase database used for training word embeddings. -
Word2Vec: A Novel Semi-Supervised Learning Approach for Word Embeddings
Word2Vec is a technique for learning vector representations of words in a text corpus. -
Polyglot Wikipedia
The dataset used for training and testing the MVLSA model.
