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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 2551–2575 of 4002 papers

TitleStatusHype
UniPi: Recognition of Mentions of Disorders in Clinical Text—0
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification—0
Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task—0
Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings—0
Unsupervised Alignment of Distributional Word Embeddings—0
Unsupervised Bilingual Lexicon Induction via Latent Variable Models—0
Unsupervised Compositional Translation of Multiword Expressions—0
Unsupervised Construction of Knowledge Graphs From Text and Code—0
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios—0
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models—0
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces—0
Unsupervised Deep Cross-modality Spectral Hashing—0
Unsupervised detection of diachronic word sense evolution—0
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
Unsupervised domain-agnostic identification of product names in social media posts—0
Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison—0
Unsupervised Hyper-alignment for Multilingual Word Embeddings—0
Unsupervised Hyperalignment for Multilingual Word Embeddings—0
Unsupervised Induction of Compositional Types for English Adjective-Noun Pairs—0
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing—0
Unsupervised Inference of Object Affordance from Text Corpora—0
Unsupervised Joint Training of Bilingual Word Embeddings—0
Unsupervised Learning of Distributional Relation Vectors—0
Unsupervised Learning of Entailment-Vector Word Embeddings—0
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