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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 1151–1175 of 4002 papers

TitleStatusHype
Evaluating Neural Word Embeddings for SanskritCode0
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis—0
Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism—0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set—0
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings—0
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey—0
Locally-Contextual Nonlinear CRFs for Sequence Labeling—0
Probabilistic Analogical Mapping with Semantic Relation Networks—0
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications—0
An Introduction to Robust Graph Convolutional Networks—0
When Word Embeddings Become Endangered—0
SparseGAN: Sparse Generative Adversarial Network for Text Generation—0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus—0
Attention-based model for predicting question relatedness on Stack Overflow—0
Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptationCode0
Do Word Embeddings Really Understand Loughran-McDonald's Polarities?—0
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations—0
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist NewspapersCode0
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesCode0
Evaluation of Morphological Embeddings for the Russian Language—0
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
CNN-based Spoken Term Detection and Localization without Dynamic Programming—0
A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification—0
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