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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 1851–1875 of 4002 papers

TitleStatusHype
A Challenge Set and Methods for Noun-Verb Ambiguity—0
Improving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings—0
Improving Vector Space Word Representations Using Multilingual Correlation—0
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses—0
Explainable Identification of Hate Speech towards Islam using Graph Neural Networks—0
Explainability of Text Processing and Retrieval Methods: A Critical Survey—0
Experiments on a Guarani Corpus of News and Social Media—0
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks—0
Experimental Evaluation of Deep Learning models for Marathi Text Classification—0
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity—0
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings—0
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces—0
Clinical Named Entity Recognition using Contextualized Token Representations—0
ArGoT: A Glossary of Terms extracted from the arXiv—0
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity—0
Incorporating Context into Language Encoding Models for fMRI—0
Example-based Acquisition of Fine-grained Collocation Resources—0
Clinical Event Detection with Hybrid Neural Architecture—0
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Incorporating Sub-Word Level Information in Language Invariant Neural Event Detection—0
Incorporating visual features into word embeddings: A bimodal autoencoder-based approach—0
Exact gradient updates in time independent of output size for the spherical loss family—0
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