Heterogeneous graph attention networks for passage retrieval

Lucas Albarede; Philippe Mulhem; Lorraine Goeuriot; Sylvain Marié; Claude Le Pape-Gardeux; Trinidad Chardin-Segui

doi:10.1007/s10791-023-09424-3

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JOURNAL ARTICLE

Heterogeneous graph attention networks for passage retrieval

Lucas Albarede Philippe Mulhem Lorraine Goeuriot Sylvain Marié Claude Le Pape-Gardeux Trinidad Chardin-Segui

Year: 2023 Journal: Information Retrieval Vol: 26 (1-2) Publisher: Springer Science+Business Media

DOI: 10.1007/s10791-023-09424-3

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Keywords:

Clef Computer science Contextualization Graph Relevance (law) Context (archaeology) Representation (politics) Task (project management) Ranking (information retrieval) Artificial intelligence Information retrieval Theoretical computer science

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Heterogeneous graph attention networks for passage retrieval

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