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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 3876–3900 of 4002 papers

TitleStatusHype
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation—0
From Paraphrase Database to Compositional Paraphrase Model and BackCode0
WordRank: Learning Word Embeddings via Robust RankingCode0
Modeling Order in Neural Word Embeddings at Scale—0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2—0
DeepNL: a Deep Learning NLP pipeline—0
Learning Distributed Representations for Multilingual Text Sequences—0
ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter—0
Dependency Link Embeddings: Continuous Representations of Syntactic Substructures—0
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification—0
Dependency-Based Semantic Role Labeling using Convolutional Neural Networks—0
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity—0
USAAR-WLV: Hypernym Generation with Deep Neural Nets—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition—0
MITRE: Seven Systems for Semantic Similarity in Tweets—0
Distributional Representations of Words for Short Text Classification—0
A Word-Embedding-based Sense Index for Regular Polysemy Representation—0
AZMAT: Sentence Similarity Using Associative Matrices—0
Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships—0
Semantic Information Extraction for Improved Word Embeddings—0
CroVeWA: Crosslingual Vector-Based Writing Assistance—0
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors—0
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces—0
Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV Parsing—0
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