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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 326–350 of 4002 papers

TitleStatusHype
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
Cross-lingual Annotation Projection in Legal TextsCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Correlations between Word Vector SetsCode0
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural NetworkCode0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative LanguagesCode0
Learning Embeddings into Entropic Wasserstein SpacesCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
Cross-lingual Lexical Sememe PredictionCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Do Word Embeddings Capture Spelling Variation?Code0
Contextual String Embeddings for Sequence LabelingCode0
Contrastive Learning in Distilled ModelsCode0
ChemBoost: A chemical language based approach for protein-ligand binding affinity predictionCode0
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