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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 351–375 of 4002 papers

TitleStatusHype
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
Cross-lingual Lexical Sememe PredictionCode0
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding SpacesCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Argument from Old Man's View: Assessing Social Bias in ArgumentationCode0
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social ScienceCode0
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural NetworkCode0
Alternative Weighting Schemes for ELMo EmbeddingsCode0
Correlations between Word Vector SetsCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
Convolutional Neural Network with Word Embeddings for Chinese Word SegmentationCode0
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word VectorsCode0
Cross-lingual Annotation Projection in Legal TextsCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
A Robust Bias Mitigation Procedure Based on the Stereotype Content ModelCode0
A Robust Hybrid Approach for Textual Document ClassificationCode0
Co-occurrences using Fasttext embeddings for word similarity tasks in UrduCode0
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as WellCode0
Contributions to Clinical Named Entity Recognition in PortugueseCode0
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