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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 326–350 of 4002 papers

TitleStatusHype
Collapsed Language Models Promote FairnessCode0
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?Code0
Contextual Document Embeddings—0
FLAG: Financial Long Document Classification via AMR-based GNNCode0
Concept Space Alignment in Multilingual LLMs—0
Jointly modelling the evolution of social structure and language in online communities—0
Beats of Bias: Analyzing Lyrics with Topic Modeling and Gender Bias Measurements—0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models—0
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text ClassificationCode0
Target word activity detector: An approach to obtain ASR word boundaries without lexicon—0
Visualizing Temporal Topic Embeddings with a Compass—0
Analyzing Correlations Between Intrinsic and Extrinsic Bias Metrics of Static Word Embeddings With Their Measuring Biases Aligned—0
Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking—0
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models—0
Word and Phrase Features in Graph Convolutional Network for Automatic Question Classification—0
From cart to truck: meaning shift through words in English in the last two centuries—0
Triplètoile: Extraction of Knowledge from Microblogging Text—0
Personalized Video Summarization using Text-Based Queries and Conditional Modeling—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
Quantum Algorithms for Compositional Text Processing—0
Semantics or spelling? Probing contextual word embeddings with orthographic noiseCode0
Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Strong and weak alignment of large language models with human valuesCode0
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