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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 1351–1375 of 4002 papers

TitleStatusHype
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion DetectionCode0
Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings—0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Methods for Numeracy-Preserving Word Embeddings—0
Combining BERT with Static Word Embeddings for Categorizing Social Media—0
Understanding the Source of Semantic Regularities in Word Embeddings—0
Evaluating Word Embeddings on Low-Resource Languages—0
Rethinking Topic Modelling: From Document-Space to Term-Space—0
Alignment-free Cross-lingual Semantic Role Labeling—0
When is a bishop not like a rook? When it's like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationshipsCode0
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings—0
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings—0
Embedding Structured Dictionary Entries—0
Going Beyond T-SNE: Exposing whatlies in Text Embeddings—0
Word associations and the distance properties of context-aware word embeddings—0
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers—0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words—0
Task-oriented Domain-specific Meta-Embedding for Text Classification—0
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments—0
Evaluating Word Embeddings for Language Acquisition—0
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgroupingCode0
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
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