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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 101–150 of 4002 papers

TitleStatusHype
Improved acoustic word embeddings for zero-resource languages using multilingual transferCode1
Improved Semantic Role Labeling using Parameterized Neighborhood Memory AdaptationCode1
Improving word mover's distance by leveraging self-attention matrixCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little CostCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little CostCode1
Information-Theoretic Probing for Linguistic StructureCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
Interpretable & Time-Budget-Constrained Contextualization for Re-RankingCode1
Keyword-Guided Neural Conversational ModelCode1
Corrected CBOW Performs as well as Skip-gramCode1
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense DisambiguationCode1
Language Models Implement Simple Word2Vec-style Vector ArithmeticCode1
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel CorporaCode1
Learning Distinct and Representative Styles for Image CaptioningCode1
Learning principled bilingual mappings of word embeddings while preserving monolingual invarianceCode1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fatCode1
Meta-Personalizing Vision-Language Models to Find Named Instances in VideoCode1
Adversarial Training for Commonsense InferenceCode1
MLFMF: Data Sets for Machine Learning for Mathematical FormalizationCode1
Adversarial Training Methods for Semi-Supervised Text ClassificationCode1
MorphTE: Injecting Morphology in Tensorized EmbeddingsCode1
MT2ST: Adaptive Multi-Task to Single-Task LearningCode1
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsCode1
A Source-Criticism Debiasing Method for GloVe EmbeddingsCode1
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddingsCode1
Backpack Language ModelsCode1
BERT for Monolingual and Cross-Lingual Reverse DictionaryCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Affective and Contextual Embedding for Sarcasm DetectionCode1
A Comprehensive Analysis of Static Word Embeddings for TurkishCode1
A Neural Few-Shot Text Classification Reality CheckCode1
Brain2Word: Decoding Brain Activity for Language GenerationCode1
All Word Embeddings from One EmbeddingCode1
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon InductionCode1
Compass-aligned Distributional Embeddings for Studying Semantic Differences across CorporaCode1
Compositional Demographic Word EmbeddingsCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection TaskCode1
Contextual Word Representations: A Contextual IntroductionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
CTRAN: CNN-Transformer-based Network for Natural Language UnderstandingCode1
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksCode1
BERT Goes Shopping: Comparing Distributional Models for Product RepresentationsCode1
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