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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 1226–1250 of 4002 papers

TitleStatusHype
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
The Influence of Down-Sampling Strategies on SVD Word Embedding Stability—0
An RNN-based Binary Classifier for the Story Cloze Test—0
Do Word Embeddings Really Understand Loughran-McDonald's Polarities?—0
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer—0
Development of a Japanese Personality Dictionary based on Psychological Methods—0
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations—0
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator—0
Dual Embeddings and Metrics for Relational Similarity—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations—0
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )—0
BLISS in Non-Isometric Embedding Spaces—0
An Unsupervised Approach for Mapping between Vector Spaces—0
Beyond Context: A New Perspective for Word Embeddings—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques—0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings—0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
Early Discovery of Disappearing Entities in Microblogs—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Easy-First Dependency Parsing with Hierarchical Tree LSTMs—0
Bootstrapping NLU Models with Multi-task Learning—0
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing—0
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