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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 1701–1725 of 4002 papers

TitleStatusHype
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions—0
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic SpacesCode0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings—0
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings—0
Parsing Early Modern English for Linguistic Search—0
Measuring Social Biases in Grounded Vision and Language EmbeddingsCode0
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching—0
Towards Detection of Subjective Bias using Contextualized Word EmbeddingsCode0
Supervised Phrase-boundary EmbeddingsCode0
Semantic Relatedness and Taxonomic Word Embeddings—0
Word Embeddings Inherently Recover the Conceptual Organization of the Human Mind—0
Fast and Robust Comparison of Probability Measures in Heterogeneous SpacesCode0
Twitter Bot Detection Using Bidirectional Long Short-term Memory Neural Networks and Word Embeddings—0
Detecting Fake News with Capsule Neural Networks—0
Pretrained Transformers for Simple Question Answering over Knowledge GraphsCode0
A Deep Neural Framework for Contextual Affect Detection—0
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook—0
Bias in word embeddings—0
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings—0
A Deep Learning Approach to Behavior-Based Learner Modeling—0
Zero-Shot Activity Recognition with Videos—0
Generating Sense Embeddings for Syntactic and Semantic Analogy for PortugueseCode0
Text-based inference of moral sentiment change—0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
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