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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 126–150 of 4002 papers

TitleStatusHype
In-Context Former: Lightning-fast Compressing Context for Large Language Model—0
Exploring Intra and Inter-language Consistency in Embeddings with ICA—0
Statistical Uncertainty in Word Embeddings: GloVe-VCode1
Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation—0
Understanding Visual Concepts Across ModelsCode0
Automated Trustworthiness Testing for Machine Learning Classifiers—0
Predicting Drug-Gene Relations via Analogy Tasks with Word EmbeddingsCode0
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels—0
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain ScoresCode0
An Automatic Question Usability Evaluation ToolkitCode0
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic ModelCode2
fMRI predictors based on language models of increasing complexity recover brain left lateralizationCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book SystemsCode0
Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding—0
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference CorpusCode0
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter OptimisationCode0
"Hunt Takes Hare": Theming Games Through Game-Word Vector Translation—0
LGDE: Local Graph-based Dictionary ExpansionCode0
A Comprehensive Analysis of Static Word Embeddings for TurkishCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Span-Aggregatable, Contextualized Word Embeddings for Effective Phrase Mining—0
Word-specific tonal realizations in Mandarin—0
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