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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 251–275 of 4002 papers

TitleStatusHype
A Comparison of Domain-based Word Polarity Estimation using different Word Embeddings—0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification—0
An Embedding Model for Predicting Roll-Call Votes—0
Adversarial Transfer Learning for Punctuation Restoration—0
Apprentissage de plongements lexicaux par une approche r\'eseaux complexes (Complex networks based word embeddings)—0
A Bayesian approach to uncertainty in word embedding bias estimation—0
Apprentissage de plongements de mots dynamiques avec r\'egularisation de la d\'erive (Learning dynamic word embeddings with drift regularisation)—0
Adversarial Training for Unsupervised Bilingual Lexicon Induction—0
An efficient domain-independent approach for supervised keyphrase extraction and ranking—0
A Comparison of Context-sensitive Models for Lexical Substitution—0
Apprentissage de plongements de mots sur des corpus en langue de sp\'ecialit\'e : une \'etude d'impact (Learning word embeddings on domain specific corpora : an impact study )—0
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
Adversarial Representation Learning for Text-to-Image Matching—0
An Automatic Learning of an Algerian Dialect Lexicon by using Multilingual Word Embeddings—0
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings—0
Examining Structure of Word Embeddings with PCA—0
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource—0
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
An Artificial Language Evaluation of Distributional Semantic Models—0
Anaphora Resolution in Dialogue Systems for South Asian Languages—0
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings—0
Applying Word Embeddings to Measure Valence in Information Operations Targeting Journalists in Brazil—0
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