Empirical studies on word representations
S Suster - 2016 - research.rug.nl
One of the most fundamental tasks in natural language processing is representing words
with mathematical objects (such as vectors). The word representations, which are most often …
with mathematical objects (such as vectors). The word representations, which are most often …
Efficient estimation of word representations in vector space
We propose two novel model architectures for computing continuous vector representations
of words from very large data sets. The quality of these representations is measured in a …
of words from very large data sets. The quality of these representations is measured in a …
[PDF][PDF] A simple and efficient method to generate word sense representations
L Nieto-Pina, R Johansson - Proceedings of the International …, 2015 - aclanthology.org
Distributed representations of words have boosted the performance of many Natural
Language Processing tasks. However, usually only one representation per word is obtained …
Language Processing tasks. However, usually only one representation per word is obtained …
Pooling word vector representations across models
Vector based word representation models are typically developed from very large corpora
with the hope that the representations are reliable and have wide coverage, ie they cover …
with the hope that the representations are reliable and have wide coverage, ie they cover …
A simple and efficient method to generate word sense representations
LN Pina, R Johansson - arXiv preprint arXiv:1412.6045, 2014 - arxiv.org
Distributed representations of words have boosted the performance of many Natural
Language Processing tasks. However, usually only one representation per word is obtained …
Language Processing tasks. However, usually only one representation per word is obtained …
Geometry and analogies: a study and propagation method for word representations
In this paper we discuss the well-known claim that language analogies yield almost parallel
vector differences in word embeddings. On the one hand, we show that this property, while it …
vector differences in word embeddings. On the one hand, we show that this property, while it …
[图书][B] Splitting rocks: Learning word sense representations from corpora and lexica
L Nieto Piña - 2019 - gupea.ub.gu.se
The representation of written language semantics is a central problem of language
technology and a crucial component of many natural language processing applications …
technology and a crucial component of many natural language processing applications …
[PDF][PDF] Diverse context for learning word representations
M Faruqui - 2016 - manaalfaruqui.com
Word representations are mathematical objects that capture a word's meaning and its
grammatical properties in a way that can be read and understood by computers. Word …
grammatical properties in a way that can be read and understood by computers. Word …
Enriching word vectors with subword information
Continuous word representations, trained on large unlabeled corpora are useful for many
natural language processing tasks. Popular models that learn such representations ignore …
natural language processing tasks. Popular models that learn such representations ignore …
[PDF][PDF] Robust Representation Learning for Low Resource Languages
Understanding the meaning of words is essential for most natural language processing
tasks. Word representations are means to mathematically represent the meaning of a word …
tasks. Word representations are means to mathematically represent the meaning of a word …