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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 1176–1200 of 4002 papers

TitleStatusHype
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning—0
Overcoming Poor Word Embeddings with Word Definitions—0
Lex2vec: making Explainable Word Embeddings via Lexical Resources—0
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning—0
Spanish Biomedical and Clinical Language Embeddings—0
Abelian Neural Networks—0
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations—0
Paraphrases do not explain word analogiesCode0
Co-occurrences using Fasttext embeddings for word similarity tasks in UrduCode0
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation—0
Knowledge-Base Enriched Word Embeddings for Biomedical Domain—0
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based ApproachCode0
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings—0
Content-Aware Speaker Embeddings for Speaker Diarisation—0
A study of text representations in Hate Speech DetectionCode0
Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds—0
A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
Bootstrapping Multilingual AMR with Contextual Word Alignments—0
Using Word Embeddings to Uncover Discourses—0
Short Text Clustering with Transformers—0
A Simple Disaster-Related Knowledge Base for Intelligent Agents—0
RelWalk A Latent Variable Model Approach to Knowledge Graph EmbeddingCode0
Dictionary-based Debiasing of Pre-trained Word EmbeddingsCode0
Enhanced word embeddings using multi-semantic representation through lexical chainsCode0
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