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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 2451–2475 of 4002 papers

TitleStatusHype
Complementary Strategies for Low Resourced Morphological Modeling—0
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection—0
Quantifying Context Overlap for Training Word Embeddings—0
How to represent a word and predict it, too: Improving tied architectures for language modelling—0
Siamese Network-Based Supervised Topic Modeling—0
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets—0
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task—0
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop—0
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction—0
Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation—0
SParse: Ko University Graph-Based Parsing System for the CoNLL 2018 Shared Task—0
A Neural Local Coherence Model for Text Quality Assessment—0
Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task—0
Modeling Input Uncertainty in Neural Network Dependency ParsingCode0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
Modelling Salient Features as Directions in Fine-Tuned Semantic SpacesCode0
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network—0
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning—0
Streaming word similarity mining on the cheap—0
Auto-Encoding Dictionary Definitions into Consistent Word EmbeddingsCode0
Tree-Stack LSTM in Transition Based Dependency ParsingCode0
An LSTM Approach to Short Text Sentiment Classification with Word Embeddings—0
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