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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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TitleStatusHype
Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation—0
Computational Detection of Intertextual Parallels in Biblical Hebrew: A Benchmark Study Using Transformer-Based Language Models—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings—0
Characterizing Linguistic Shifts in Croatian News via Diachronic Word EmbeddingsCode0
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform—0
Recommender systems, stigmergy, and the tyranny of popularity—0
Static Word Embeddings for Sentence Semantic Representation—0
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models—0
On the Emergence of Linear Analogies in Word Embeddings—0
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation—0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
An Exploratory Analysis on the Explanatory Potential of Embedding-Based Measures of Semantic Transparency for Malay Word Recognition—0
Towards Smart Point-and-Shoot Photography—0
Word Embedding Techniques for Classification of Star Ratings—0
Word Embeddings Track Social Group Changes Across 70 Years in China—0
Geological Inference from Textual Data using Word EmbeddingsCode0
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections—0
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS TaggingCode0
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations—0
Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation WorkCode0
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models—0
Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches—0
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning—0
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches—0
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