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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 251–300 of 4002 papers

TitleStatusHype
A Comparison of Domain-based Word Polarity Estimation using different Word Embeddings—0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification—0
An Embedding Model for Predicting Roll-Call Votes—0
Adversarial Transfer Learning for Punctuation Restoration—0
Argument from Old Man’s View: Assessing Social Bias in Argumentation—0
A Bayesian approach to uncertainty in word embedding bias estimation—0
ArGoT: A Glossary of Terms extracted from the arXiv—0
Adversarial Training for Unsupervised Bilingual Lexicon Induction—0
An efficient domain-independent approach for supervised keyphrase extraction and ranking—0
A Comparison of Context-sensitive Models for Lexical Substitution—0
Argumentative Topology: Finding Loop(holes) in Logic—0
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
Adversarial Representation Learning for Text-to-Image Matching—0
An Automatic Learning of an Algerian Dialect Lexicon by using Multilingual Word Embeddings—0
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings—0
Examining Structure of Word Embeddings with PCA—0
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource—0
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
An Artificial Language Evaluation of Distributional Semantic Models—0
Anaphora Resolution in Dialogue Systems for South Asian Languages—0
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
An analysis of the user occupational class through Twitter content—0
An Analysis of Hierarchical Text Classification Using Word Embeddings—0
Adversarial Evaluation of BERT for Biomedical Named Entity Recognition—0
Adversarial Contrastive Estimation—0
An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks—0
A Comparative Study of Word Embeddings for Reading Comprehension—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
An Analysis of Deep Contextual Word Embeddings and Neural Architectures for Toponym Mention Detection in Scientific Publications—0
Analyzing Word Embedding Through Structural Equation Modeling—0
Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture—0
A comparative study of word embeddings and other features for lexical complexity detection in French—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
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content—0
Are Word Embedding-based Features Useful for Sarcasm Detection?—0
Analyzing the Representational Geometry of Acoustic Word Embeddings—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
Analyzing the Framing of 2020 Presidential Candidates in the News—0
A Dual Embedding Space Model for Document Ranking—0
A Comparative Study of Transformers on Word Sense Disambiguation—0
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives—0
Analyzing Semantic Change in Japanese Loanwords—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
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