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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 3326–3350 of 4002 papers

TitleStatusHype
Entity Linking for Queries by Searching Wikipedia Sentences—0
Word Embeddings via Tensor FactorizationCode0
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment AnalysisCode0
The Interplay of Semantics and Morphology in Word EmbeddingsCode0
Linear Ensembles of Word Embedding ModelsCode0
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines—0
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings—0
Sentiment Analysis of Citations Using Word2vecCode0
Using bilingual word-embeddings for multilingual collocation extraction—0
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation—0
Learning User Embeddings from Emails—0
Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets—0
Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation—0
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis—0
Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms—0
Clustering of Russian Adjective-Noun Constructions using Word Embeddings—0
Using Word Embedding for Cross-Language Plagiarism Detection—0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations—0
Measuring Topic Coherence through Optimal Word Buckets—0
PP Attachment: Where do We Stand?—0
Potential and Limitations of Cross-Domain Sentiment Classification—0
Comparison of Short-Text Sentiment Analysis Methods for Croatian—0
Multilingual Training of Crosslingual Word Embeddings—0
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings—0
Automated WordNet Construction Using Word EmbeddingsCode0
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