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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 3401–3425 of 4002 papers

TitleStatusHype
Reproducing and learning new algebraic operations on word embeddings using genetic programmingCode0
Vector Embedding of Wikipedia Concepts and EntitiesCode0
UsingWord Embedding for Cross-Language Plagiarism Detection—0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
Integrating Reviews into Personalized Ranking for Cold Start Recommendation—0
Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities—0
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation—0
Self-Taught Convolutional Neural Networks for Short Text ClusteringCode0
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation—0
Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications—0
Neural Disambiguation of Causal Lexical Markers Based on ContextCode0
Dual Embeddings and Metrics for Relational Similarity—0
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling—0
Incorporating visual features into word embeddings: A bimodal autoencoder-based approach—0
Unsupervised Induction of Compositional Types for English Adjective-Noun Pairs—0
Using Neural Word Embeddings in the Analysis of the Clinical Semantic Verbal Fluency Task—0
Learning to Compose Spatial Relations with Grounded Neural Language Models—0
Sense Embeddings in Knowledge-Based Word Sense DisambiguationCode0
Joint Prediction of Word Alignment with Alignment Types—0
Recent Developments within BulTreeBank—0
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces—0
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling—0
Building a robust sentiment lexicon with (almost) no resource—0
Multilingual Word Embeddings using Multigraphs—0
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training—0
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