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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 1351–1375 of 4002 papers

TitleStatusHype
Adjusting Word Embeddings with Semantic Intensity Orders—0
A Comparative Study of Neural Network Models for Sentence Classification—0
4chan & 8chan embeddings—0
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives—0
Examining Structure of Word Embeddings with PCA—0
Convolutional Neural Network for Universal Sentence Embeddings—0
Attending Sentences to detect Satirical Fake News—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks—0
Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models—0
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations—0
A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings—0
A Distribution-based Model to Learn Bilingual Word Embeddings—0
Context Vectors are Reflections of Word Vectors in Half the Dimensions—0
A Topical Approach to Capturing Customer Insight In Social Media—0
Analysis of Word Embeddings Using Fuzzy Clustering—0
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning—0
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge—0
Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis—0
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding—0
Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge—0
Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification—0
Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction—0
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