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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 1076–1100 of 4002 papers

TitleStatusHype
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records—0
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction—0
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings—0
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes—0
Distilling Word Embeddings: An Encoding Approach—0
DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks—0
Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis—0
An Improved Neural Baseline for Temporal Relation Extraction—0
Bidirectional Retrieval Made Simple—0
Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
An Improved Historical Embedding without Alignment—0
Aggregating Continuous Word Embeddings for Information Retrieval—0
A Computational Approach to Measuring the Semantic Divergence of Cognates—0
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets—0
Disambiguated skip-gram model—0
Bidirectional Long Short-Term Memory Networks for Relation Classification—0
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods—0
A General Method for Event Detection on Social Media—0
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings—0
Bias in word embeddings—0
Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories—0
Angular-Based Word Meta-Embedding Learning—0
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