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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 176–200 of 4002 papers

TitleStatusHype
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
Improved acoustic word embeddings for zero-resource languages using multilingual transferCode1
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word EmbeddingsCode1
Transition-based Semantic Dependency Parsing with Pointer NetworksCode1
Adversarial Training for Commonsense InferenceCode1
Pretraining Federated Text Models for Next Word PredictionCode1
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
Graph-Embedding Empowered Entity RetrievalCode1
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode1
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection TaskCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change DetectionCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
All Word Embeddings from One EmbeddingCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionCode1
Compass-aligned Distributional Embeddings for Studying Semantic Differences across CorporaCode1
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment CorpusCode1
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM NetworkCode1
Information-Theoretic Probing for Linguistic StructureCode1
Understanding Linearity of Cross-Lingual Word Embedding MappingsCode1
Cycle Text-To-Image GAN with BERTCode1
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fatCode1
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at ScaleCode1
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