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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > neural networks model > node2vec

Terme préférentiel

node2vec  

Définition

  • An algorithmic framework for learning continuous feature representations for nodes in networks. (Grover & Leskovec, 2016)

Concept générique

Exemple

  • A tentative explanation is that directly inputting the text of the cited articles adds noisy information that confuses rather than helps the model in the task while a "fuzzier" representation of the articles gives a broader information about articles (Node2Vec embeds the topological position of articles in Civil Code of Quebec) without forcing the model to combine the legal terminology of the law and the text input of the decisions. (Salaün, Langlais & Benyekhlef, 2021)
  • In contrast Node2vec does not lead to significant improvement in TWITTER-US presumably because the sampling procedure of node2vec does not allow to detect homophily with sufficient clarity. (Fornaciari & Hovy, 2019)
  • When looking at the results for contextual embeddings we can see several instances where the concatenation with node2vec proves to be beneficial. (El Boukkouri, Ferret, Lavergne & Zweigenbaum, 2022)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-MCCM85J1-B

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