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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 1651–1675 of 4002 papers

TitleStatusHype
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions—0
Understanding the Downstream Instability of Word EmbeddingsCode1
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic SpacesCode0
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings—0
Semantic Relatedness for Keyword Disambiguation: Exploiting Different Embeddings—0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
Parsing Early Modern English for Linguistic Search—0
Efficient Sentence Embedding via Semantic Subspace AnalysisCode1
Refinement of Unsupervised Cross-Lingual Word EmbeddingsCode1
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching—0
Measuring Social Biases in Grounded Vision and Language EmbeddingsCode0
Variational Bayesian QuantizationCode1
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
Multilingual acoustic word embedding models for processing zero-resource languagesCode1
Fast and Robust Comparison of Probability Measures in Heterogeneous SpacesCode0
Interpretable & Time-Budget-Constrained Contextualization for Re-RankingCode1
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
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksCode1
A Deep Neural Framework for Contextual Affect Detection—0
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook—0
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