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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
HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding—0
Hostility Detection and Covid-19 Fake News Detection in Social Media—0
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings—0
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings—0
How does a Multilingual LM Handle Multiple Languages?—0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
How much does a word weigh? Weighting word embeddings for word sense induction—0
How Much Does Tokenization Affect Neural Machine Translation?—0
How much do word embeddings encode about syntax?—0
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?—0
How Self-Attention Improves Rare Class Performance in a Question-Answering Dialogue Agent—0
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models—0
How to encode arbitrarily complex morphology in word embeddings, no corpus needed—0
How to represent a word and predict it, too: Improving tied architectures for language modelling—0
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis—0
Human-in-the-Loop Refinement of Word Embeddings—0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition—0
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning—0
"Hunt Takes Hare": Theming Games Through Game-Word Vector Translation—0
Hybridation d'un agent conversationnel avec des plongements lexicaux pour la formation au diagnostic m\'edical (Hybridization of a conversational agent with word embeddings for medical diagnostic training)—0
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy—0
Hybrid Improved Document-level Embedding (HIDE)—0
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes—0
Hyperbolic Centroid Calculations for Text Classification—0
Hyperspherical Query Likelihood Models with Word Embeddings—0
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