16 citations · 69 across the 11 of their papers we have counts for
4 papers · 1 filter
Constraints, Lazy Constraints, or Propagators in ASP Solving: An Empirical Analysis
Bernardo Cuteri, Carmine Dodaro, Francesco Ricca +1
Answer Set Programming (ASP) is a well-established declarative paradigm. One of the successes of ASP is the availability of efficient systems. State-of-the-art systems are based on…
Best-Effort Inductive Logic Programming via Fine-grained Cost-based Hypothesis Generation
Peter Schüller, Mishal Benz
We describe the Inspire system which participated in the first competition on Inductive Logic Programming (ILP). Inspire is based on Answer Set Programming (ASP). The distinguishin…
Improving Scalability of Inductive Logic Programming via Pruning and Best-Effort Optimisation
Mishal Kazmi, Peter Schüller, Yücel Saygın
Inductive Logic Programming (ILP) combines rule-based and statistical artificial intelligence methods, by learning a hypothesis comprising a set of rules given background knowledge…
Marmara Turkish Coreference Corpus and Coreference Resolution Baseline
Peter Schüller, Kübra Cıngıllı, Ferit Tunçer +4
We describe the Marmara Turkish Coreference Corpus, which is an annotation of the whole METU-Sabanci Turkish Treebank with mentions and coreference chains. Collecting eight or more…