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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
Multimodal Metric Learning for Tag-based Music RetrievalCode1
Multimodal Word DistributionsCode1
NPVec1: Word Embeddings for Nepali - Construction and EvaluationCode1
Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionCode1
Obtaining Better Static Word Embeddings Using Contextual Embedding ModelsCode1
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued PretrainingCode1
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word EmbeddingsCode1
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence InferenceCode1
Paraphrase Generation with Latent Bag of WordsCode1
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word EmbeddingCode1
PolyLM: Learning about Polysemy through Language ModelingCode1
Pre-training and Diagnosing Knowledge Base Completion ModelsCode1
Probabilistic FastText for Multi-Sense Word EmbeddingsCode1
Probing BERT in Hyperbolic SpacesCode1
Query2Prod2Vec: Grounded Word Embeddings for eCommerceCode1
Recovering Private Text in Federated Learning of Language ModelsCode1
ADEPT: A DEbiasing PrompT FrameworkCode1
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter AccessCode1
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
Revisiting Language Encoding in Learning Multilingual RepresentationsCode1
Understanding Linearity of Cross-Lingual Word Embedding MappingsCode1
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business IntelligenceCode1
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
Shortformer: Better Language Modeling using Shorter InputsCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across CorporaCode1
Statistical Uncertainty in Word Embeddings: GloVe-VCode1
Structured Pruning of Large Language ModelsCode1
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and PreventionCode1
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word EmbeddingsCode1
Towards Better Chinese-centric Neural Machine Translation for Low-resource LanguagesCode1
Towards Debiasing Sentence RepresentationsCode1
Tracing Origins: Coreference-aware Machine Reading ComprehensionCode1
Cooperative Self-training of Machine Reading ComprehensionCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text SegmentationCode1
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence LearningCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender BiasCode1
Using Context-to-Vector with Graph Retrofitting to Improve Word EmbeddingsCode1
Adapting Text Embeddings for Causal InferenceCode1
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
Adversarial Training for Commonsense InferenceCode1
Visualizing and Measuring the Geometry of BERTCode1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
A Dynamic Window Neural Network for CCG Supertagging—0
Adversarial Transfer Learning for Punctuation Restoration—0
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