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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 2401–2425 of 4002 papers

TitleStatusHype
Unsupervised Parallel Sentence Extraction from Comparable Corpora—0
An LSTM Approach to Short Text Sentiment Classification with Word Embeddings—0
Complementary Strategies for Low Resourced Morphological Modeling—0
IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification—0
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation—0
An Unsupervised System for Parallel Corpus Filtering—0
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition—0
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task—0
Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings—0
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks—0
Classification of Medication-Related Tweets Using Stacked Bidirectional LSTMs with Context-Aware AttentionCode0
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection—0
NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level PreprocessingCode0
The LMU Munich Unsupervised Machine Translation Systems—0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
Deep Learning for Social Media Health Text Classification—0
Learning Representations for Detecting Abusive Language—0
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection—0
Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings—0
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network—0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets—0
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings—0
Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification—0
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