Valda — Value from data
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Seminar
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Publications
Valda Seminar: Mikaël Monet
Mikaël Monet, Inria Lille. 25 February 2022, 10:30-11:30. ENS, S16. Shapley Values for Relational Databases and Machine Learning The Shapley value is a game-theoretic function that can be used to distribute the wealth of a team in a cooperative game. This function has strong theoretical justifications has been applied across…
Valda Seminar: Davide Benedetto and Shrey Mishra
12 March 2021, 10:30-11:30 Online seminar: https://bbb.di.ens.fr/b/cam-pz6-kdj Traversal algorithms and heuristics for reasoning over logic based knowledge graphs (Davide Benedetto) Knowledge Graphs (KGs) provide a concise and intuitive abstraction for a variety of domains where edges capture the (potentially recursive) relationships between the entities. This is leading to the rise…
Valda Seminar: Liat Peterfreund and Yann Ramusat
5 March 2021, 10:30-11:30 Online seminar: https://bbb.di.ens.fr/b/cam-pz6-kdj Grammars for Document Spanners (Liat Peterfreund) We propose a new grammar-based language for defining information-extractors from documents (text) that is built upon the well-studied framework of Document Spanners for extracting structured data from text. While previously studied formalisms for document spanners are mainly…
Valda Seminar: Meghyn Bienvenu
Meghyn Bienvenu, CNRS, University of Bordeaux 18 December 2020, 10:30-11:30 Online seminar: https://bbb.di.ens.fr/b/cam-pz6-kdj Preferred repairs over inconsistent knowledge bases and connections to argumentation A fundamental notion when reasoning over inconsistent knowledge bases is that of a repair, defined as a maximal subset of the data that is consistent w.r.t. the…
