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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 201–250 of 4002 papers

TitleStatusHype
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings—0
Contrastive Learning in Distilled ModelsCode0
Multilingual acoustic word embeddings for zero-resource languages—0
GWPT: A Green Word-Embedding-based POS Tagger—0
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed EmbeddingsCode0
Machine Learning to Promote Translational Research: Predicting Patent and Clinical Trial Inclusion in Dementia Research—0
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer—0
Estimating Text Similarity based on Semantic Concept Embeddings—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks—0
Effect of dimensionality change on the bias of word embeddings—0
Zur Darstellung eines mehrstufigen Prototypbegriffs in der multilingualen automatischen Sprachgenerierung: vom Korpus über word embeddings bis hin zum automatischen Wörterbuch—0
Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling—0
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models—0
Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations—0
Decoupled Textual Embeddings for Customized Image GenerationCode1
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings—0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels—0
Natural Language Processing for Diagnosis and Risk Assessment of Cardiovascular Disease—0
Where exactly does contextualization in a PLM happen?—0
Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals—0
Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?Code0
Robust Concept Erasure via Kernelized Rate-Distortion MaximizationCode0
Quantifying the redundancy between prosody and textCode1
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Compositional Fusion of Signals in Data Embedding—0
Spoken Word2Vec: Learning Skipgram Embeddings from SpeechCode0
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued PretrainingCode1
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized methodCode0
Word Definitions from Large Language Models—0
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument StructureCode0
MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover—0
Explainable Identification of Hate Speech towards Islam using Graph Neural Networks—0
An Embedded Diachronic Sense Change Model with a Case Study from Ancient GreekCode0
Evaluation Framework for Understanding Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms—0
ProMap: Effective Bilingual Lexicon Induction via Language Model PromptingCode0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
MLFMF: Data Sets for Machine Learning for Mathematical FormalizationCode1
Analogical Proportions and Creativity: A Preliminary Study—0
GARI: Graph Attention for Relative Isomorphism of Arabic Word EmbeddingsCode0
ChatGPT-guided Semantics for Zero-shot LearningCode0
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records—0
Swap and Predict -- Predicting the Semantic Changes in Words across Corpora by Context SwappingCode0
Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings—0
Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody ModellingCode2
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performanceCode0
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection—0
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