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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 1376–1400 of 4002 papers

TitleStatusHype
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models—0
Character aware models with similarity learning for metaphor detection—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Estimating Mutual Information Between Dense Word Embeddings—0
Estimating Text Similarity based on Semantic Concept Embeddings—0
Estimating User Communication Styles for Spoken Dialogue Systems—0
Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model—0
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates—0
\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux (POS tagging for low-resource languages by adapting word embeddings )—0
Arabic aspect sentiment polarity classification using BERT—0
Etude de la reproductibilit\'e des word embeddings : rep\'erage des zones stables et instables dans le lexique (Reproducibility of word embeddings : identifying stable and unstable zones in the semantic space)—0
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
EusDisParser: improving an under-resourced discourse parser with cross-lingual data—0
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages—0
Evaluating a Multi-sense Definition Generation Model for Multiple Languages—0
Arabic Textual Entailment with Word Embeddings—0
Adapting Neural Machine Translation with Parallel Synthetic Data—0
Better OOV Translation with Bilingual Terminology Mining—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks—0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing—0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation—0
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text—0
Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF—0
A Framework for Decoding Event-Related Potentials from Text—0
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