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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 601–625 of 4002 papers

TitleStatusHype
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon InductionCode0
Social Biases in Automatic Evaluation Metrics for NLG—0
Temporal Word Meaning Disambiguation using TimeLMs—0
Early Discovery of Disappearing Entities in Microblogs—0
On the Explainability of Natural Language Processing Deep Models—0
Domain-Specific Word Embeddings with Structure PredictionCode0
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection—0
Lexical semantics enhanced neural word embeddings—0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph—0
ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification—0
CILex: An Investigation of Context Information for Lexical Substitution MethodsCode0
Evaluating Word Embeddings in Extremely Under-Resourced Languages: A Case Study in Bribri—0
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification—0
Revisiting Statistical Laws of Semantic Shift in Romance Cognates—0
Cross-lingual Feature Extraction from Monolingual Corpora for Low-resource Unsupervised Bilingual Lexicon Induction—0
Emotion Enriched Retrofitted Word Embeddings—0
A multi-level approach for hierarchical Ticket Classification—0
Tales and Tropes: Gender Roles from Word Embeddings in a Century of Children’s Books—0
Vocabulary-informed Language Encoding—0
COIN – an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings—0
Aligning Word Vectors on Low-Resource Languages with WiktionaryCode0
Romanian micro-blogging named entity recognition including health-related entities—0
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings—0
How to encode arbitrarily complex morphology in word embeddings, no corpus needed—0
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