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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

Showing 13511375 of 4002 papers

TitleStatusHype
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources0
Enhancing Out-Of-Domain Utterance Detection with Data Augmentation Based on Word Embeddings0
Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization0
Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing0
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization0
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations0
應用詞向量於語言樣式探勘之研究 (Mining Language Patterns Using Word Embeddings) [In Chinese]0
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts0
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts0
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings0
Enriching Word Embeddings with Domain Knowledge for Readability Assessment0
Censorship of Online Encyclopedias: Implications for NLP Models0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data0
Ensemble Methods to Distinguish Mainland and Taiwan Chinese0
Ensemble Romanian Dependency Parsing with Neural Networks0
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification0
Entity-Centric Contextual Affective Analysis0
Entity Linking for Queries by Searching Wikipedia Sentences0
Detecting Semantically Equivalent Questions in Online User Forums0
Entropy-Based Subword Mining with an Application to Word Embeddings0
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area0
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques0
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension0
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