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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 3101–3125 of 4002 papers

TitleStatusHype
Bilexical Embeddings for Quality Estimation—0
UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings—0
Variable Mini-Batch Sizing and Pre-Trained Embeddings—0
VecShare: A Framework for Sharing Word Representation Vectors—0
Automatic Community Creation for Abstractive Spoken Conversations Summarization—0
AutoExtend: Combining Word Embeddings with Semantic Resources—0
We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!Code0
What do we need to know about an unknown word when parsing German—0
A Question Answering Approach for Emotion Cause Extraction—0
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC—0
Word-Context Character Embeddings for Chinese Word Segmentation—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding—0
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis—0
Word Embeddings for Multi-label Document Classification—0
Word Re-Embedding via Manifold Dimensionality Retention—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
Adapting Neural Machine Translation with Parallel Synthetic Data—0
YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model—0
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation—0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing—0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
Handling Homographs in Neural Machine Translation—0
Probabilistic Relation Induction in Vector Space Embeddings—0
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language TasksCode0
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