Portrait de Michael Noukhovitch

Michael Noukhovitch

Doctorat - UdeM
Superviseur⋅e principal⋅e
Aaron Courville
Sujets de recherche
Alignement de l'IA
Apprentissage de représentations
Apprentissage par renforcement
Apprentissage profond
Traitement du langage naturel
Site web
Google Scholar
GitHub

Publications

Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanisław Jastrzębski
Dzmitry Bahdanau
Seyedarian Hosseini
Michael Noukhovitch
Yoshua Bengio
Jackie Chi Kit Cheung
Commonsense knowledge bases such as ConceptNet represent knowledge in the form of relational triples. Inspired by the recent work by Li et a… (voir plus)l., we analyse if knowledge base completion models can be used to mine commonsense knowledge from raw text. We propose novelty of predicted triples with respect to the training set as an important factor in interpreting results. We critically analyse the difficulty of mining novel commonsense knowledge, and show that a simple baseline method outperforms the previous state of the art on predicting more novel.
2017-12-31
Generalization in the Age of Deep Learning @ Neural Information Processing Systems (publié)
doi.org
arxiv.org