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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 1876–1900 of 4002 papers

TitleStatusHype
Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions—0
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
Exploring Interpretability of Independent Components of Word Embeddings with Automated Word Intruder Test—0
Deriving continous grounded meaning representations from referentially structured multimodal contexts—0
Indigenous Language Revitalization and the Dilemma of Gender Bias—0
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition—0
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes—0
Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization—0
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings—0
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0—0
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources—0
Inducing Relational Knowledge from BERT—0
Interpretable Neural Embeddings with Sparse Self-Representation—0
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction—0
Interpretable Word Embedding Contextualization—0
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces—0
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Derivational Morphological Relations in Word Embeddings—0
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function—0
Cross-lingual Transfer of Sentiment Classifiers—0
Derivational Morphological Relations in Word Embeddings—0
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