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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 301–350 of 4002 papers

TitleStatusHype
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
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
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing—0
Exploring transfer learning for Deep NLP systems on rarely annotated languages—0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters—0
Collapsed Language Models Promote FairnessCode0
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?Code0
Contextual Document Embeddings—0
FLAG: Financial Long Document Classification via AMR-based GNNCode0
Concept Space Alignment in Multilingual LLMs—0
Jointly modelling the evolution of social structure and language in online communities—0
Beats of Bias: Analyzing Lyrics with Topic Modeling and Gender Bias Measurements—0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models—0
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text ClassificationCode0
Target word activity detector: An approach to obtain ASR word boundaries without lexicon—0
Visualizing Temporal Topic Embeddings with a Compass—0
Analyzing Correlations Between Intrinsic and Extrinsic Bias Metrics of Static Word Embeddings With Their Measuring Biases Aligned—0
Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking—0
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models—0
Word and Phrase Features in Graph Convolutional Network for Automatic Question Classification—0
From cart to truck: meaning shift through words in English in the last two centuries—0
Triplètoile: Extraction of Knowledge from Microblogging Text—0
Personalized Video Summarization using Text-Based Queries and Conditional Modeling—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
Quantum Algorithms for Compositional Text Processing—0
Semantics or spelling? Probing contextual word embeddings with orthographic noiseCode0
Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Strong and weak alignment of large language models with human valuesCode0
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