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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 2351–2375 of 4002 papers

TitleStatusHype
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach—0
Verb Argument Structure Alternations in Word and Sentence Embeddings—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data—0
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings—0
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction—0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors—0
Learning Relation Representations from Word Representations—0
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy—0
HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal UncertaintyCode0
A Deterministic Algorithm for Bridging Anaphora Resolution—0
Few-shot Learning for Named Entity Recognition in Medical TextCode0
The Cinderella Complex: Word Embeddings Reveal ender Stereotypes in Movies and BooksCode0
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?—0
Learning Semantic Representations for Novel Words: Leveraging Both Form and ContextCode0
Neural sequence labeling for Vietnamese POS Tagging and NER—0
Deep Neural Networks for Query Expansion using Word Embeddings—0
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF—0
Learning acoustic word embeddings with phonetically associated triplet network—0
Semantic Term "Blurring" and Stochastic "Barcoding" for Improved Unsupervised Text Classification—0
Unsupervised Hyperalignment for Multilingual Word Embeddings—0
ChemBoost: A chemical language based approach for protein-ligand binding affinity predictionCode0
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction—0
Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable—0
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation—0
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