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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 351–400 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
You shall know a piece by the company it keeps. Chess plays as a data for word2vec models—0
Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction—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
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain ScoresCode0
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
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book SystemsCode0
Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding—0
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference CorpusCode0
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter OptimisationCode0
"Hunt Takes Hare": Theming Games Through Game-Word Vector Translation—0
LGDE: Local Graph-based Dictionary ExpansionCode0
Span-Aggregatable, Contextualized Word Embeddings for Effective Phrase Mining—0
Word-specific tonal realizations in Mandarin—0
Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition—0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential PrivacyCode0
Bridging Vision and Language Spaces with Assignment PredictionCode0
WordDecipher: Enhancing Digital Workspace Communication with Explainable AI for Non-native English Speakers—0
Weakly Supervised Deep Hyperspherical Quantization for Image RetrievalCode0
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual TextsCode0
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringCode0
Robust Concept Erasure Using Task Vectors—0
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian TweetsCode0
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online SpacesCode0
The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data AnalysisCode0
Quantum Natural Language Processing—0
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level AttacksCode0
Fusion approaches for emotion recognition from speech using acoustic and text-based features—0
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