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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 2901–2925 of 4002 papers

TitleStatusHype
Learning Covariate-Specific Embeddings with Tensor Decompositions—0
One-shot and few-shot learning of word embeddings—0
On the Use of Word Embeddings Alone to Represent Natural Language Sequences—0
Lifelong Word Embedding via Meta-Learning—0
Word2net: Deep Representations of Language—0
A Simple Fully Connected Network for Composing Word Embeddings from Characters—0
Comparison of Paragram and GloVe Results for Similarity Benchmarks—0
Unsupervised Learning of Entailment-Vector Word Embeddings—0
Initial Experiments in Data-Driven Morphological Analysis for Finnish—0
Sound Analogies with Phoneme Embeddings—0
Learning Representations Specialized in Spatial Knowledge: Leveraging Language and VisionCode0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
Evaluating the Stability of Embedding-based Word Similarities—0
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases—0
Detecting Cross-Lingual Plagiarism Using Simulated Word Embeddings—0
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents—0
Generative Adversarial Nets for Multiple Text CorporaCode0
Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task—0
Any-gram Kernels for Sentence Classification: A Sentiment Analysis Case Study—0
Unsupervised Word Mapping Using Structural Similarities in Monolingual Embeddings—0
Beyond Word2Vec: Embedding Words and Phrases in Same Vector SpaceCode0
Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation—0
Social Emotion Mining Techniques for Facebook Posts Reaction PredictionCode0
Recognizing Plans by Learning Embeddings from Observed Action Distributions—0
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical MetathesaurusCode0
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