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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 201–225 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
Can a Fruit Fly Learn Word Embeddings?Code1
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
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
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