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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 1376–1400 of 4002 papers

TitleStatusHype
Beyond Adjacency Pairs: Hierarchical Clustering of Long Sequences for Human-Machine Dialogues—0
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\^6) down to O(n\^3)—0
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings—0
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
Evaluating Word Embeddings on Low-Resource Languages—0
Evaluating Word Embeddings for Language Acquisition—0
Methods for Numeracy-Preserving Word Embeddings—0
Evaluating Bias In Dutch Word EmbeddingsCode0
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word EmbeddingsCode0
A Cross-lingual Natural Language Processing Framework for Infodemic Management—0
Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme—0
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models—0
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and TagsCode0
Discovering and Interpreting Biased Concepts in Online CommunitiesCode0
Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model—0
Autoencoding Improves Pre-trained Word Embeddings—0
Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge—0
Word Embeddings for Chemical Patent Natural Language Processing—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method—0
Topic Modeling with Contextualized Word Representation Clusters—0
Generating Adequate Distractors for Multiple-Choice Questions—0
Comparative analysis of word embeddings in assessing semantic similarity of complex sentences—0
Learning Graph-Based Priors for Generalized Zero-Shot Learning—0
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition—0
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