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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 1626–1650 of 4002 papers

TitleStatusHype
Fusing Vector Space Models for Domain-Specific Applications—0
Fusion approaches for emotion recognition from speech using acoustic and text-based features—0
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation—0
Complex Ontology Matching with Large Language Model Embeddings—0
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP—0
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations—0
A Deep Learning approach for Hindi Named Entity Recognition—0
A New Approach to Animacy Detection—0
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings—0
Gender bias Evaluation in Luganda-English Machine Translation—0
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives—0
Self-supervised audio representation learning for mobile devices—0
Composing Noun Phrase Vector Representations—0
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics—0
Gender Prediction for Chinese Social Media Data—0
Gender Roles from Word Embeddings in a Century of Children’s Books—0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA—0
Detecting Cross-Lingual Plagiarism Using Simulated Word Embeddings—0
Generating Adequate Distractors for Multiple-Choice Questions—0
Compositional Fusion of Signals in Data Embedding—0
Key Phrase Extraction & Applause Prediction—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
Affordance Extraction and Inference based on Semantic Role Labeling—0
Compound Embedding Features for Semi-supervised Learning—0
Detecting and Mitigating Indirect Stereotypes in Word Embeddings—0
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