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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 2876–2900 of 4002 papers

TitleStatusHype
A Computational Approach to Measuring the Semantic Divergence of Cognates—0
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings—0
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition—0
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling—0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
A Cross-lingual Natural Language Processing Framework for Infodemic Management—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
Actionable and Political Text Classification using Word Embeddings and LSTM—0
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces—0
Active Discriminative Text Representation Learning—0
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation—0
ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora—0
Adapted Sentiment Similarity Seed Words For French Tweets' Polarity Classification—0
Adapting Neural Machine Translation with Parallel Synthetic Data—0
Adapting Pre-trained Word Embeddings For Use In Medical Coding—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
Adapting word2vec to Named Entity Recognition—0
Adaptive Compression of Word Embeddings—0
A data-driven strategy to combine word embeddings in information retrieval—0
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings—0
Addressing Biases in the Texts using an End-to-End Pipeline Approach—0
Addressing Low-Resource Scenarios with Character-aware Embeddings—0
Addressing Noise in Multidialectal Word Embeddings—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
A Deep Content-Based Model for Persian Rumor Verification—0
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