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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 3251–3275 of 4002 papers

TitleStatusHype
Improved Word Representation Learning with SememesCode0
Sentence Alignment Methods for Improving Text Simplification Systems—0
Skip-Gram − Zipf + Uniform = Vector Additivity—0
Exploring Neural Text Simplification ModelsCode0
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts—0
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering—0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data—0
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task—0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
A Multidimensional Lexicon for Interpersonal Stancetaking—0
Adversarial Training for Unsupervised Bilingual Lexicon Induction—0
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognitionCode0
Neural Question Answering at BioASQ 5B—0
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context—0
Jointly Learning Word Embeddings and Latent Topics—0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
A Mixture Model for Learning Multi-Sense Word Embeddings—0
A Survey Of Cross-lingual Word Embedding Models—0
Query-by-Example Search with Discriminative Neural Acoustic Word EmbeddingsCode0
Neural Domain Adaptation for Biomedical Question AnsweringCode0
Scientific document summarization via citation contextualization and scientific discourse—0
Context encoders as a simple but powerful extension of word2vecCode0
Insights into Analogy Completion from the Biomedical DomainCode0
Learning Structured Semantic Embeddings for Visual Recognition—0
Order embeddings and character-level convolutions for multimodal alignment—0
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