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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 351400 of 4002 papers

TitleStatusHype
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings TechniquesCode0
Debiasing Sentence Embedders through Contrastive Word PairsCode0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
Debiasing Word Embeddings with Nonlinear GeometryCode0
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
ChemBoost: A chemical language based approach for protein-ligand binding affinity predictionCode0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding SpacesCode0
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
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 Word Representations via Spectral Graph EmbeddingsCode0
Decision-Directed Data DecompositionCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Cross-lingual Annotation Projection in Legal TextsCode0
A Robust Bias Mitigation Procedure Based on the Stereotype Content ModelCode0
A Robust Hybrid Approach for Textual Document ClassificationCode0
Alternative Weighting Schemes for ELMo EmbeddingsCode0
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as WellCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
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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