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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 3351–3400 of 4002 papers

TitleStatusHype
Intuitive Contrasting Map for Antonym EmbeddingsCode0
KaWAT: A Word Analogy Task Dataset for IndonesianCode0
Neural Structural Correspondence Learning for Domain AdaptationCode0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation ModelsCode0
Distilling Word Meaning in Context from Pre-trained Language ModelsCode0
Towards preserving word order importance through Forced InvalidationCode0
Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word EmbeddingsCode0
Weighted Neural Bag-of-n-grams Model: New Baselines for Text ClassificationCode0
Neural Word Segmentation with Rich PretrainingCode0
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings EvaluationCode0
Zipfian WhiteningCode0
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional PreferencesCode0
Scaffolded input promotes atomic organization in the recurrent neural network language modelCode0
Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor DetectionCode0
Towards robust word embeddings for noisy textsCode0
Bidirectional LSTM-CRF for Clinical Concept ExtractionCode0
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic ChangeCode0
Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss TranslationCode0
New word analogy corpus for exploring embeddings of Czech wordsCode0
Scoring Lexical Entailment with a Supervised Directional Similarity NetworkCode0
Knowing Where and What: Unified Word Block Pretraining for Document UnderstandingCode0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish TextCode0
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram FeaturesCode0
Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical StudyCode0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment AnalysisCode0
Document Embedding with Paragraph VectorsCode0
Representation Bias of Adolescents in AI: A Bilingual, Bicultural StudyCode0
NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level PreprocessingCode0
Bidirectional LSTM-CRF for Clinical Concept ExtractionCode0
Towards Understanding Gender Bias in Relation ExtractionCode0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Second-Order Word Embeddings from Nearest Neighbor Topological FeaturesCode0
Towards Understanding the Geometry of Knowledge Graph EmbeddingsCode0
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random FeaturesCode0
Bidirectional Attention as a Mixture of Continuous Word ExpertsCode0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
Unsupervised Lexical Substitution with Decontextualised EmbeddingsCode0
Domain Adapted Word Embeddings for Improved Sentiment ClassificationCode0
Language-Agnostic Visual-Semantic EmbeddingsCode0
Synthetic Data Made to Order: The Case of ParsingCode0
Domain-Specific Word Embeddings with Structure PredictionCode0
Language Embeddings Sometimes Contain Typological GeneralizationsCode0
Segmentation-free Compositional n-gram EmbeddingCode0
Unsupervised Matching of Data and TextCode0
Unsupervised Mining of Analogical Frames by Constraint SatisfactionCode0
WG4Rec: Modeling Textual Content with Word Graph for News RecommendationCode0
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