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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 901–925 of 4002 papers

TitleStatusHype
BioReddit: Word Embeddings for User-Generated Biomedical NLP—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
Abstractive Document Summarization with Word Embedding Reconstruction—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
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
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