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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

Showing 426450 of 4002 papers

TitleStatusHype
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error StatesCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
A Deep Relevance Model for Zero-Shot Document FilteringCode0
A Survey on Contextualised Semantic Shift DetectionCode0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
A Review of Different Word Embeddings for Sentiment Classification using Deep LearningCode0
Embeddings for Word Sense Disambiguation: An Evaluation StudyCode0
Embedding Strategies for Specialized Domains: Application to Clinical Entity RecognitionCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic ChangeCode0
A Systematic Comparison of English Noun Compound RepresentationsCode0
Analysis of Railway Accidents' Narratives Using Deep LearningCode0
Cross-lingual Lexical Sememe PredictionCode0
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?Code0
A methodology to characterize bias and harmful stereotypes in natural language processing in Latin AmericaCode0
Empower Sequence Labeling with Task-Aware Neural Language ModelCode0
Analytical Methods for Interpretable Ultradense Word EmbeddingsCode0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
End-to-End Text Classification via Image-based Embedding using Character-level NetworksCode0
Enhanced word embeddings using multi-semantic representation through lexical chainsCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
Analyzing Continuous Semantic Shifts with Diachronic Word Similarity MatricesCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
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