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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 1276–1300 of 4002 papers

TitleStatusHype
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel CorporaCode1
Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and TagsCode0
Discovering and Interpreting Biased Concepts in Online CommunitiesCode0
Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model—0
Autoencoding Improves Pre-trained Word Embeddings—0
Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge—0
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word EmbeddingsCode1
Word Embeddings for Chemical Patent Natural Language Processing—0
Topic Modeling with Contextualized Word Representation Clusters—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
Generating Adequate Distractors for Multiple-Choice Questions—0
Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryCode1
Dynamic Contextualized Word EmbeddingsCode1
Comparative analysis of word embeddings in assessing semantic similarity of complex sentences—0
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method—0
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition—0
Learning Graph-Based Priors for Generalized Zero-Shot Learning—0
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures—0
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word EmbeddingCode1
LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text—0
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System MetathesaurusCode1
What makes multilingual BERT multilingual?—0
Image Captioning with Visual Object Representations Grounded in the Textual Modality—0
Multi-Adversarial Learning for Cross-Lingual Word Embeddings—0
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