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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 126–150 of 4002 papers

TitleStatusHype
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence LearningCode1
BERT Goes Shopping: Comparing Distributional Models for Product RepresentationsCode1
Keyword-Guided Neural Conversational ModelCode1
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender BiasCode1
Affective and Contextual Embedding for Sarcasm DetectionCode1
Improved Semantic Role Labeling using Parameterized Neighborhood Memory AdaptationCode1
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPCode1
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding LossCode1
Multimodal Metric Learning for Tag-based Music RetrievalCode1
Named Entity Recognition for Social Media Texts with Semantic AugmentationCode1
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency DetectionCode1
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasCode1
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel CorporaCode1
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word EmbeddingsCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
Dynamic Contextualized Word EmbeddingsCode1
Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryCode1
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word EmbeddingCode1
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label GraphsCode1
comp-syn: Perceptually Grounded Word Embeddings with ColorCode1
Embedding Words in Non-Vector Space with Unsupervised Graph LearningCode1
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