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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 1976–2000 of 4002 papers

TitleStatusHype
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives—0
Sex Trafficking Detection with Ordinal Regression Neural Networks—0
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review—0
On-Device Text Representations Robust To Misspellings via Projections—0
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA SystemCode0
BERT-based Ranking for Biomedical Entity Normalization—0
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval—0
Debiasing Embeddings for Reduced Gender Bias in Text Classification—0
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text ClassificationCode0
Dialog State Tracking: A Neural Reading Comprehension Approach—0
Word2vec to behavior: morphology facilitates the grounding of language in machinesCode0
JHU System Description for the MADAR Arabic Dialect Identification Shared Task—0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian—0
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English—0
Improving Word Embeddings Using Kernel PCA—0
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian—0
NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets—0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
Contributions to Clinical Named Entity Recognition in PortugueseCode0
Identification of Adjective-Noun Neologisms using Pretrained Language ModelsCode0
Contextualized Diachronic Word RepresentationsCode0
WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation—0
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings—0
Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings—0
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts—0
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