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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 476–500 of 4002 papers

TitleStatusHype
Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsCode0
From Hyperbolic Geometry Back to Word EmbeddingsCode0
From Incremental Meaning to Semantic Unit (phrase by phrase)Code0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word EmbeddingsCode0
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text ClassificationCode0
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text ClassificationCode0
A Comparative Study on Word Embeddings and Social NLP TasksCode0
Automated WordNet Construction Using Word EmbeddingsCode0
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph ModularityCode0
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative NormalizationCode0
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch SizeCode0
Automatic Argumentative-Zoning Using Word2vecCode0
An Automatic Question Usability Evaluation ToolkitCode0
Generating Text through Adversarial Training using Skip-Thought VectorsCode0
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
Deep convolutional acoustic word embeddings using word-pair side informationCode0
Geological Inference from Textual Data using Word EmbeddingsCode0
Automatic Detection of Sexist Statements Commonly Used at the WorkplaceCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word EmbeddingsCode0
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddingsCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
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