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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 3226–3250 of 4002 papers

TitleStatusHype
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search—0
Detecting Policy Preferences and Dynamics in the UN General Debate with Neural Word Embeddings—0
Efficient Vector Representation for Documents through CorruptionCode0
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection—0
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment AnalysisCode0
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Multi-Attention Network for One Shot Learning—0
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
Zara Returns: Improved Personality Induction and Adaptation by an Empathetic Virtual Agent—0
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings—0
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—0
Exploring Diachronic Lexical Semantics with JeSemECode0
Character-Aware Neural Morphological Disambiguation—0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word EmbeddingsCode0
Varying Linguistic Purposes of Emoji in (Twitter) Context—0
Methodical Evaluation of Arabic Word Embeddings—0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming—0
Neural Joint Model for Transition-based Chinese Syntactic Analysis—0
Learning bilingual word embeddings with (almost) no bilingual data—0
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function—0
Semantic Word Clusters Using Signed Spectral Clustering—0
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