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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 2501–2525 of 4002 papers

TitleStatusHype
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
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources—0
Inducing Relational Knowledge from BERT—0
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction—0
INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words—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
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function—0
Word Equations: Inherently Interpretable Sparse Word Embeddingsthrough Sparse Coding—0
Initial Experiments in Data-Driven Morphological Analysis for Finnish—0
Injecting Wiktionary to improve token-level contextual representations using contrastive learning—0
Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings—0
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings—0
In Neural Machine Translation, What Does Transfer Learning Transfer?—0
Inspecting the concept knowledge graph encoded by modern language models—0
Instantiation—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction—0
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting—0
Integrating Pause Information with Word Embeddings in Language Models for Alzheimer's Disease Detection from Spontaneous Speech—0
Integrating Reviews into Personalized Ranking for Cold Start Recommendation—0
Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach—0
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