Semanlink - Graphs+Machine Learning AND NLP: Text Representation

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Arxiv Doc - Concept learning - Extractive Text Summarization - Graphs+Machine Learning - Graphs + NLP - IRIT - Laure Soulier - Lynda Tamine - Medical Data - NLP: Text Representation - NLP@Amazon - Representation learning - Semantic gap - Thèse IRIT-Renault: biblio initiale - Topic Modeling - Vector space model - Yandex -

Graphs+Machine Learning AND NLP: Text Representation

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6 Documents

[2208.09982] GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization

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2022-08-24 About

[1805.09906] Diffusion Maps for Textual Network Embedding

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2022-08-19 About

[2110.10778] Contrastive Document Representation Learning with Graph Attention Networks

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2022-03-10 About

CONCEPTUAL GROUNDING FOR TEXT REPRESENTATION LEARNING

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2019-12-03 About

[1910.03524] Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs

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2019-10-09 About

Learning Concept-Driven Document Embeddings for Medical Information Search (2017)

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2018-01-03 About