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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 476–500 of 4002 papers

TitleStatusHype
An Analysis of Hierarchical Text Classification Using Word Embeddings—0
Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments—0
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach—0
Artificial intelligence prediction of stock prices using social media—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Automated Single-Label Patent Classification using Ensemble Classifiers—0
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers—0
Automated Trustworthiness Testing for Machine Learning Classifiers—0
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation—0
Automatically Building a Multilingual Lexicon of False Friends With No Supervision—0
Automatically Inferring Implicit Properties in Similes—0
Automatically Linking Lexical Resources with Word Sense Embedding Models—0
An Automatic Learning of an Algerian Dialect Lexicon by using Multilingual Word Embeddings—0
Automatic classification of speech overlaps: Feature representation and algorithms—0
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Article citation study: Context enhanced citation sentiment detection—0
A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition—0
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
An efficient domain-independent approach for supervised keyphrase extraction and ranking—0
Automatic Generation of Multiple-Choice Questions—0
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics—0
Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings—0
Bias in word embeddings—0
Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
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