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 51–75 of 4002 papers

TitleStatusHype
Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection—0
Quantifying Lexical Semantic Shift via Unbalanced Optimal TransportCode0
SEE: Sememe Entanglement Encoding for Transformer-bases Models Compression—0
From communities to interpretable network and word embedding: an unified approach—0
A polar coordinate system represents syntax in large language models—0
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models—0
Probing the statistical properties of enriched co-occurrence networks—0
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references—0
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word EmbeddingsCode0
NormXLogit: The Head-on-Top Never Lies—0
Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics—0
Meaning at the Planck scale? Contextualized word embeddings for doing history, philosophy, and sociology of science—0
Mitigating Gender Bias in Contextual Word Embeddings—0
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
HJ-Ky-0.1: an Evaluation Dataset for Kyrgyz Word EmbeddingsCode1
A Primer on Word Embeddings: AI Techniques for Text Analysis in Social Work—0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models—0
Social Support Detection from Social Media Texts—0
NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom—0
Generic Embedding-Based Lexicons for Transparent and Reproducible Text Scoring—0
Zipfian WhiteningCode0
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers—0
Tracing the Development of the Virtual Particle Concept Using Semantic Change DetectionCode0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling—0
Show:102550
← PrevPage 3 of 161Next →

No leaderboard results yet.