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Learning Word Embeddings

11 papers with code · Methodology

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Variational Sequential Labelers for Semi-Supervised Learning

EMNLP 2018 mingdachen/vsl

Our model family consists of a latent-variable generative model and a discriminative labeler.

LEARNING WORD EMBEDDINGS

Few-Shot Representation Learning for Out-Of-Vocabulary Words

ACL 2019 acbull/HiCE

Existing approaches for learning word embeddings often assume there are sufficient occurrences for each word in the corpus, such that the representation of words can be accurately estimated from their contexts.

LEARNING WORD EMBEDDINGS META-LEARNING

Skip-gram word embeddings in hyperbolic space

30 Aug 2018lateral/minkowski

Recent work has demonstrated that embeddings of tree-like graphs in hyperbolic space surpass their Euclidean counterparts in performance by a large margin.

LEARNING WORD EMBEDDINGS

Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings

IJCNLP 2017 kanekomasahiro/grammatical-error-detection

In this study, we improve grammatical error detection by learning word embeddings that consider grammaticality and error patterns.

GRAMMATICAL ERROR DETECTION LEARNING WORD EMBEDDINGS

The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints

1 Jun 2017locuslab/mixing

In this paper, we propose a low-rank coordinate descent approach to structured semidefinite programming with diagonal constraints.

LEARNING WORD EMBEDDINGS

MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting

IJCNLP 2017 tmu-nlp/pmi-ppdb

We present a pointwise mutual information (PMI)-based approach to formalize paraphrasability and propose a variant of PMI, called MIPA, for the paraphrase acquisition.

LEARNING WORD EMBEDDINGS SEMANTIC TEXTUAL SIMILARITY WORD ALIGNMENT