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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 1451–1500 of 4002 papers

TitleStatusHype
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification—0
Improved acoustic word embeddings for zero-resource languages using multilingual transferCode1
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word EmbeddingsCode1
Word Sense Distance in Human Similarity Judgements and Contextualised Word Embeddings—0
R\'epliquer et \'etendre pour l'alsacien ``\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux'' (Replicating and extending for Alsatian : ``POS tagging for low-resource languages by adapting word embeddings'')—0
\'Etude sur le r\'esum\'e comparatif gr\^ace aux plongements de mots (Comparative summarization study using word embeddings)—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
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )—0
Unsupervised Word Translation with Adversarial Autoencoder—0
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor—0
Hybrid Improved Document-level Embedding (HIDE)—0
BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a NonlinearityCode0
Quasi-orthonormal Encoding for Machine Learning ApplicationsCode0
Transition-based Semantic Dependency Parsing with Pointer NetworksCode1
TIME: Text and Image Mutual-Translation Adversarial Networks—0
A Study of Neural Matching Models for Cross-lingual IR—0
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity SummarizationCode0
Degree-Aware Alignment for Entities in TailCode0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
Living Machines: A study of atypical animacyCode0
The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphsCode0
Enhancing Word Embeddings with Knowledge Extracted from Lexical ResourcesCode0
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering—0
Embeddings as representation for symbolic music—0
Contextual Embeddings: When Are They Worth It?—0
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddingsCode0
Text Classification with Few Examples using Controlled Generalization—0
Adversarial Training for Commonsense InferenceCode1
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
RPD: A Distance Function Between Word Embeddings—0
Towards classification parity across cohorts—0
Learning Probabilistic Sentence Representations from Paraphrases—0
Cross-lingual Transfer of Sentiment Classifiers—0
Pretraining Federated Text Models for Next Word PredictionCode1
Evaluating Sparse Interpretable Word Embeddings for Biomedical DomainCode0
Toward Better Storylines with Sentence-Level Language Models—0
Article citation study: Context enhanced citation sentiment detection—0
Comparative Analysis of Word Embeddings for Capturing Word SimilaritiesCode0
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking EmphasisCode1
Graph-Embedding Empowered Entity RetrievalCode1
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words—0
The Paradigm Discovery ProblemCode0
Visual Question Answering with Prior Class Semantics—0
Improving Aspect-Level Sentiment Analysis with Aspect Extraction—0
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode1
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?—0
MultiSeg: Parallel Data and Subword Information for Learning Bilingual Embeddings in Low Resource ScenariosCode0
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