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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 376–400 of 4002 papers

TitleStatusHype
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
A Self-supervised Representation Learning of Sentence Structure for Authorship AttributionCode0
A Semi-supervised Framework for Image CaptioningCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word VectorsCode0
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
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text ClassificationCode0
A Simple and Effective Usage of Word Clusters for CBOW ModelCode0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
Representation Bias of Adolescents in AI: A Bilingual, Bicultural StudyCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
Deep Text Mining of Instagram Data Without Strong SupervisionCode0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Density Matching for Bilingual Word EmbeddingCode0
Cross-lingual Lexical Sememe PredictionCode0
A Review of Different Word Embeddings for Sentiment Classification using Deep LearningCode0
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