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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 76–100 of 4002 papers

TitleStatusHype
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing—0
Exploring transfer learning for Deep NLP systems on rarely annotated languages—0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters—0
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot CornucopiaCode1
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
Enhancing High-order Interaction Awareness in LLM-based Recommender ModelCode1
Jointly modelling the evolution of social structure and language in online communities—0
GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph KnowledgeCode1
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Beats of Bias: Analyzing Lyrics with Topic Modeling and Gender Bias Measurements—0
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
DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic ConsistencyCode1
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
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