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Found 5 papers, 2 papers with code
MLRegTest: A Benchmark for the Machine Learning of Regular Languages
Evaluating machine learning (ML) systems on their ability to learn known classifiers allows fine-grained examination of the patterns they can learn, which builds confidence when they are applied to the learning of unknown classifiers.
Querying Knowledge via Multi-Hop English Questions
The inherent difficulty of knowledge specification and the lack of trained specialists are some of the key obstacles on the way to making intelligent systems based on the knowledge representation and reasoning (KRR) paradigm commonplace.
Controlled Natural Languages and Default Reasoning
In the second part of this report, we first identify typical non-monotonicity in natural languages, such as defaults, exceptions and conversational implicatures.
Knowledge Authoring and Question Answering with KALM
Knowledge representation and reasoning (KRR) is one of the key areas in artificial intelligence (AI) field.
Paraconsistency and Word Puzzles
Word puzzles and the problem of their representations in logic languages have received considerable attention in the last decade (Ponnuru et al. 2004; Shapiro 2011; Baral and Dzifcak 2012; Schwitter 2013).
