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Learning Word Embeddings

9 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

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

Encoding Sentiment Information into Word Vectors for Sentiment Analysis

COLING 2018 yezhejack/SentiNet

General-purpose pre-trained word embeddings have become a mainstay of natural language processing, and more recently, methods have been proposed to encode external knowledge into word embeddings to benefit specific downstream tasks.

LEARNING WORD EMBEDDINGS SENTIMENT ANALYSIS