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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 2976–3000 of 4002 papers

TitleStatusHype
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching—0
mwetoolkit+sem: Integrating Word Embeddings in the mwetoolkit for Semantic MWE Processing—0
MXX@FinSim3 - An LSTM–based approach with custom word embeddings for hypernym detection in financial texts—0
Myers-Briggs personality classification from social media text using pre-trained language models—0
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks—0
Naive Bayes and BiLSTM Ensemble for Discriminating between Mainland and Taiwan Variation of Mandarin Chinese—0
Named Entity Recognition Only from Word Embeddings—0
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings—0
NARNIA at NLP4IF-2021: Identification of Misinformation in COVID-19 Tweets Using BERTweet—0
Natural Alpha Embeddings—0
Quantum Natural Language Processing—0
Natural Language Inference with Definition Embedding Considering Context On the Fly—0
Natural Language Processing for Diagnosis and Risk Assessment of Cardiovascular Disease—0
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review—0
N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings—0
NER for Medical Entities in Twitter using Sequence to Sequence Neural Networks—0
Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure?—0
Neural approaches to spoken content embedding—0
Neural context embeddings for automatic discovery of word senses—0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping—0
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task—0
Neural-DINF: A Neural Network based Framework for Measuring Document Influence—0
Neural Discourse Relation Recognition with Semantic Memory—0
Neural Feature Extraction for Contextual Emotion Detection—0
Neural Joint Model for Transition-based Chinese Syntactic Analysis—0
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