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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 2151–2175 of 4002 papers

TitleStatusHype
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual ConversationsCode0
Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis—0
Clustering-Based Article Identification in Historical NewspapersCode0
EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text—0
Word Embeddings (Also) Encode Human Personality StereotypesCode0
EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning—0
CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM—0
Identification, Interpretability, and Bayesian Word EmbeddingsCode0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Know-Center at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter using CNNs—0
USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings—0
Learning to Respond to Mixed-code Queries using Bilingual Word Embeddings—0
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs—0
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling—0
LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model—0
Coherence models in schizophrenia—0
Opinion Mining with Deep Contextualized Embeddings—0
sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection—0
THU\_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN—0
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification—0
THU\_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers—0
Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings—0
Neural Text Simplification in Low-Resource Conditions Using Weak Supervision—0
Deep Learning Techniques for Humor Detection in Hindi-English Code-Mixed Tweets—0
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification—0
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