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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 901–950 of 4002 papers

TitleStatusHype
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC—0
Cooperative Self-training of Machine Reading Comprehension—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Attention Modeling for Targeted Sentiment—0
Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach—0
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents—0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors—0
Correlation Analysis of Chronic Obstructive Pulmonary Disease (COPD) and its Biomarkers Using the Word Embeddings—0
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines—0
A Dual Embedding Space Model for Document Ranking—0
Count-Based and Predictive Language Models for Exploring DeReKo—0
Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models—0
COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?—0
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
Creation and Evaluation of Datasets for Distributional Semantics Tasks in the Digital Humanities Domain—0
A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction—0
Cross-Document Narrative Alignment of Environmental News: A Position Paper on the Challenge of Using Event Chains to Proxy Narrative Features—0
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models—0
aueb.twitter.sentiment at SemEval-2016 Task 4: A Weighted Ensemble of SVMs for Twitter Sentiment Analysis—0
Cross-language Learning with Adversarial Neural Networks—0
Cross-Language Question Re-Ranking—0
Analyzing the Representational Geometry of Acoustic Word Embeddings—0
Augmenting NLP models using Latent Feature Interpolations—0
Cross-lingual alignments of ELMo contextual embeddings—0
Advancing Fake News Detection: Hybrid DeepLearning with FastText and Explainable AI—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization—0
Cross-Lingual Classification of Topics in Political Texts—0
Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind—0
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank—0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels—0
Author Profiling from Facebook Corpora—0
Cross-lingual Embeddings Reveal Universal and Lineage-Specific Patterns in Grammatical Gender Assignment—0
Cross-lingual Feature Extraction from Monolingual Corpora for Low-resource Unsupervised Bilingual Lexicon Induction—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
AutoExtend: Combining Word Embeddings with Semantic Resources—0
Cross-lingual Linking of Automatically Constructed Frames and FrameNet—0
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes—0
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0—0
Cross-Lingual Suicidal-Oriented Word Embedding toward Suicide Prevention—0
Cross-Lingual Syntactically Informed Distributed Word Representations—0
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
Cross-lingual Transfer of Sentiment Classifiers—0
Abstractive Document Summarization with Word Embedding Reconstruction—0
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