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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 951–975 of 4002 papers

TitleStatusHype
EDGAR-CORPUS: Billions of Tokens Make The World Go Round—0
Reconstructing Word Embeddings via Scattered k-Sub-Embedding—0
Antonymy-Synonymy Discrimination through the Repelling Parasiamese Neural Network—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings—0
Marked Attribute Bias in Natural Language InferenceCode0
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding SpacesCode0
Lacking the embedding of a word? Look it up into a traditional dictionary—0
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word EmbeddingsCode0
InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline—0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
Augmenting semantic lexicons using word embeddings and transfer learningCode0
Fast query-by-example speech search using separable model—0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Gender Roles from Word Embeddings in a Century of Children’s Books—0
Revisiting Tri-training of Dependency ParsersCode0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Assessing the Reliability of Word Embedding Gender Bias MeasuresCode0
ArGoT: A Glossary of Terms extracted from the arXiv—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case—0
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining—0
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