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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 1301–1350 of 4002 papers

TitleStatusHype
Cross-Lingual Classification of Topics in Political Texts—0
Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization—0
Advancing Fake News Detection: Hybrid DeepLearning with FastText and Explainable AI—0
A comparative study of word embeddings and other features for lexical complexity detection in French—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
Cross-lingual alignments of ELMo contextual embeddings—0
Augmenting NLP models using Latent Feature Interpolations—0
Cross-Language Question Re-Ranking—0
Analyzing the Representational Geometry of Acoustic Word Embeddings—0
Cross-language Learning with Adversarial Neural Networks—0
aueb.twitter.sentiment at SemEval-2016 Task 4: A Weighted Ensemble of SVMs for Twitter Sentiment Analysis—0
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models—0
Cross-Document Narrative Alignment of Environmental News: A Position Paper on the Challenge of Using Event Chains to Proxy Narrative Features—0
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
Analyzing the Limitations of Cross-lingual Word Embedding Mappings—0
Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention—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
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?—0
A Two-Stage Approach for Computing Associative Responses to a Set of Stimulus Words—0
Analyzing the Framing of 2020 Presidential Candidates in the News—0
Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models—0
Count-Based and Predictive Language Models for Exploring DeReKo—0
A Twitter Corpus and Benchmark Resources for German Sentiment Analysis—0
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines—0
A Dual Embedding Space Model for Document Ranking—0
A Comparative Study of Transformers on Word Sense Disambiguation—0
Correlation Analysis of Chronic Obstructive Pulmonary Disease (COPD) and its Biomarkers Using the Word Embeddings—0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors—0
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents—0
Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach—0
Analyzing Semantic Change in Japanese Loanwords—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Attention Modeling for Targeted Sentiment—0
Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Attention improves concentration when learning node embeddings—0
Analyzing Correlations Between Intrinsic and Extrinsic Bias Metrics of Static Word Embeddings With Their Measuring Biases Aligned—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
Cooperative Self-training of Machine Reading Comprehension—0
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings—0
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization—0
Attention-based Semantic Priming for Slot-filling—0
Convolutional Neural Networks for Sentiment Analysis on Weibo Data: A Natural Language Processing Approach—0
Attention-based model for predicting question relatedness on Stack Overflow—0
Convolutional Neural Networks for Sentiment Classification on Business Reviews—0
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings—0
Attending to Characters in Neural Sequence Labeling Models—0
Analyzing autoencoder-based acoustic word embeddings—0
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