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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 151–200 of 4002 papers

TitleStatusHype
Disentangling Visual Embeddings for Attributes and ObjectsCode1
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode1
Dynamic Contextualized Word EmbeddingsCode1
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsCode1
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Embedding Words in Non-Vector Space with Unsupervised Graph LearningCode1
Emotion-Aware Transformer Encoder for Empathetic Dialogue GenerationCode1
BERT for Monolingual and Cross-Lingual Reverse DictionaryCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
BERT Goes Shopping: Comparing Distributional Models for Product RepresentationsCode1
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot CornucopiaCode1
A Source-Criticism Debiasing Method for GloVe EmbeddingsCode1
GeDi: Generative Discriminator Guided Sequence GenerationCode1
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon InductionCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
GREEK-BERT: The Greeks visiting Sesame StreetCode1
Hierarchical Density Order EmbeddingsCode1
Homophone Reveals the Truth: A Reality Check for Speech2VecCode1
Hurtful Words: Quantifying Biases in Clinical Contextual Word EmbeddingsCode1
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
Improved acoustic word embeddings for zero-resource languages using multilingual transferCode1
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
Improving Document Classification with Multi-Sense EmbeddingsCode1
ALL-IN-1: Short Text Classification with One Model for All LanguagesCode1
Zero-Shot Semantic SegmentationCode1
All Word Embeddings from One EmbeddingCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little CostCode1
Inducing Systematicity in Transformers by Attending to Structurally Quantized EmbeddingsCode1
Information-Theoretic Probing for Linguistic StructureCode1
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 Assisted Embedded Topic ModelCode1
Keyword-Guided Neural Conversational ModelCode1
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense DisambiguationCode1
Backpack Language ModelsCode1
Learning Bias-reduced Word Embeddings Using Dictionary DefinitionsCode1
Learning Distinct and Representative Styles for Image CaptioningCode1
Learning Object-Language Alignments for Open-Vocabulary Object DetectionCode1
Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsCode1
Measuring Bias in Contextualized Word RepresentationsCode1
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic SegmentationCode1
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language ModelsCode1
MorphTE: Injecting Morphology in Tensorized EmbeddingsCode1
MT2ST: Adaptive Multi-Task to Single-Task LearningCode1
Multilingual acoustic word embedding models for processing zero-resource languagesCode1
Multilingual Jointly Trained Acoustic and Written Word EmbeddingsCode1
Multimodal Word DistributionsCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
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