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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 1826–1850 of 4002 papers

TitleStatusHype
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition—0
Learning Conceptual Spaces with Disentangled Facets—0
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization—0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning—0
IxaMed at PharmacoNER Challenge 2019—0
Probabilistic Bias Mitigation in Word Embeddings—0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping—0
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?Code0
LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese—0
Detect Toxic Content to Improve Online Conversations—0
Word-level Textual Adversarial Attacking as Combinatorial OptimizationCode0
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention—0
Textual Data for Time Series Forecasting—0
Wasserstein distances for evaluating cross-lingual embeddings—0
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings—0
Towards Automated Website Classification by Deep Learning—0
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity—0
Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors—0
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings—0
An Improved Historical Embedding without Alignment—0
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates—0
Keyphrase Extraction from Disaster-related Tweets—0
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding—0
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings—0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings—0
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