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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 651–675 of 4002 papers

TitleStatusHype
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
Building Semantic Grams of Human Knowledge—0
Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources—0
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit—0
Applying Word Embeddings to Measure Valence in Information Operations Targeting Journalists in Brazil—0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
Apprentissage de plongements de mots dynamiques avec r\'egularisation de la d\'erive (Learning dynamic word embeddings with drift regularisation)—0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
Can Domain Adaptation be Handled as Analogies?—0
Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings—0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding—0
Active Discriminative Text Representation Learning—0
Captioning Images with Novel Objects via Online Vocabulary Expansion—0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models—0
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling—0
Casteism in India, but Not Racism - a Study of Bias in Word Embeddings of Indian Languages—0
Positional Artefacts Propagate Through Masked Language Model Embeddings—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
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