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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 1376–1400 of 4002 papers

TitleStatusHype
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Discovering and Categorising Language Biases in RedditCode1
An exploration of the encoding of grammatical gender in word embeddings—0
Deep Learning based Topic Analysis on Financial Emerging Event Tweets—0
Combining Representations For Effective Citation ClassificationCode0
Unsupervised Deep Cross-modality Spectral Hashing—0
Word embedding and neural network on grammatical gender -- A case study of Swedish—0
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding—0
Word Embeddings: Stability and Semantic Change—0
Predicting Job-Hopping Motive of Candidates Using Answers to Open-ended Interview Questions—0
IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings—0
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification—0
Morphological Skip-Gram: Using morphological knowledge to improve word representation—0
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual LearningCode0
Towards Debiasing Sentence RepresentationsCode1
A Feature Analysis for Multimodal News Retrieval—0
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets—0
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning—0
Topic Modeling on User Stories using Word Mover's DistanceCode0
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Cultural Cartography with Word Embeddings—0
Automatic Detection of Sexist Statements Commonly Used at the WorkplaceCode0
Contextualized Spoken Word Representations from Convolutional Autoencoders—0
Reflection-based Word Attribute TransferCode0
Tweets Sentiment Analysis via Word Embeddings and Machine Learning Techniques—0
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