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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 2151–2175 of 4002 papers

TitleStatusHype
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models—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
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
\'Etude sur le r\'esum\'e comparatif gr\^ace aux plongements de mots (Comparative summarization study using word embeddings)—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
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
Evaluating Machine Common Sense via Cloze Testing—0
Evaluating Metrics for Bias in Word Embeddings—0
Evaluating Monolingual and Crosslingual Embeddings on Datasets of Word Association Norms—0
Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation—0
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks—0
Evaluating Neural Word Representations in Tensor-Based Compositional Settings—0
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning—0
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