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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 3576–3600 of 4002 papers

TitleStatusHype
Representing Support Verbs in FrameNet—0
Sparsifying Word Representations for Deep Unordered Sentence Modeling—0
A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations—0
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings—0
Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense LabelingCode0
Random Positive-Only Projections: PPMI-Enabled Incremental Semantic Space Construction—0
context2vec: Learning Generic Context Embedding with Bidirectional LSTM—0
When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models—0
Unsupervised Text Segmentation Using Semantic Relatedness GraphsCode0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Chinese Zero Pronoun Resolution with Deep Neural Networks—0
Is ``Universal Syntax'' Universally Useful for Learning Distributed Word Representations?—0
Word Embedding Calculus in Meaningful Ultradense Subspaces—0
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings—0
Investigating Language Universal and Specific Properties in Word Embeddings—0
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time—0
Roleo: Visualising Thematic Fit Spaces on the Web—0
Language Transfer Learning for Supervised Lexical Substitution—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
Singleton Detection using Word Embeddings and Neural Networks—0
Word Embeddings with Limited Memory—0
Embeddings for Word Sense Disambiguation: An Evaluation StudyCode0
Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
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