SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 4002 papers

TitleStatusHype
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social ScienceCode0
Representation Bias of Adolescents in AI: A Bilingual, Bicultural StudyCode0
Misinforming LLMs: vulnerabilities, challenges and opportunities—0
Ontological Relations from Word Embeddings—0
Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction—0
You shall know a piece by the company it keeps. Chess plays as a data for word2vec models—0
The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European LanguagesCode0
On Initializing Transformers with Pre-trained Embeddings—0
R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models—0
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning—0
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic ChangesCode0
Deep Image-to-Recipe TranslationCode0
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned RepresentationCode0
Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis—0
In-Context Former: Lightning-fast Compressing Context for Large Language Model—0
Exploring Intra and Inter-language Consistency in Embeddings with ICA—0
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
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
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Predicting Drug-Gene Relations via Analogy Tasks with Word EmbeddingsCode0
An Automatic Question Usability Evaluation ToolkitCode0
fMRI predictors based on language models of increasing complexity recover brain left lateralizationCode0
Show:102550
← PrevPage 15 of 161Next →

No leaderboard results yet.