Yamamoto has shown that the Inverse Entailment (IE) mechanism described previously by the author is complete for Plotkin’s relative subsumption but incomplete for entailment. Such a form of incompleteness impedes the learning of mutually recursive definitions such as those found in grammar learning. Thus Yamamoto shows that an hypothesised clause can be derived from an example under a background theory ff using IE if and only if subsumes relative to ff in Plotkin’s sense. Yamamoto gives examples of for which ffflfi ffi but cannot be constructed using IE from ff and . The main result of the present paper is a theorem to show that by enlarging the bottom set used within IE, it is possible to make a revised version of IE complete with res...
Textual entailment is an asymmetric relation between two text fragments that describes whether one f...
Abstract Despite early interest Predicate Invention has lately been under-explored within ILP. We de...
. In this paper, we consider learning first-order Horn programs from entailment. In particular, we s...
3 -- Akihiro YAMAMOTO y Fachgebiet Intellektik, Fachbereich Informatik Technische Hochschule Darm...
This paper consider the problem of learning an unknown first-order Horn sentence H 3 from examples ...
Approximation techniques are widely used in many areas of Computer Science for dealing with polynomi...
We address the identification of propositional theories for which entailment is tractable, so that e...
AbstractThe paper studies the learnability of Horn expressions within the framework of learning from...
A learning algorithm for the class of inequated range restricted Horn expressions is presented and p...
Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither...
Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither...
We consider the entailment problem in the fragment of first-order logic (FOL) composed of existentia...
Entailment is the relation which holds between the premisses and conclusion of a. valid argument. Va...
This paper shows how dichotomous inquisitive semantics gives rise to a general notion of entailment ...
A semantic relation between a family of sets of formulas and a set of formulas, dubbed generalized e...
Textual entailment is an asymmetric relation between two text fragments that describes whether one f...
Abstract Despite early interest Predicate Invention has lately been under-explored within ILP. We de...
. In this paper, we consider learning first-order Horn programs from entailment. In particular, we s...
3 -- Akihiro YAMAMOTO y Fachgebiet Intellektik, Fachbereich Informatik Technische Hochschule Darm...
This paper consider the problem of learning an unknown first-order Horn sentence H 3 from examples ...
Approximation techniques are widely used in many areas of Computer Science for dealing with polynomi...
We address the identification of propositional theories for which entailment is tractable, so that e...
AbstractThe paper studies the learnability of Horn expressions within the framework of learning from...
A learning algorithm for the class of inequated range restricted Horn expressions is presented and p...
Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither...
Open IE methods extract structured propo-sitions from text. However, these propo-sitions are neither...
We consider the entailment problem in the fragment of first-order logic (FOL) composed of existentia...
Entailment is the relation which holds between the premisses and conclusion of a. valid argument. Va...
This paper shows how dichotomous inquisitive semantics gives rise to a general notion of entailment ...
A semantic relation between a family of sets of formulas and a set of formulas, dubbed generalized e...
Textual entailment is an asymmetric relation between two text fragments that describes whether one f...
Abstract Despite early interest Predicate Invention has lately been under-explored within ILP. We de...
. In this paper, we consider learning first-order Horn programs from entailment. In particular, we s...