The Arguments of Newly Invented Predicates in ILP
نویسندگان
چکیده
The task of predicate invention in Inductive Logic Programming is to extend the hypothesis language with new predicates, in case the vocabulary given initially is insuucient for the learning task. Introducing new predicates involves searching for an appropriate argument structure. In this paper we investigate the problem of choosing arguments for a new predicate. We identify the relevant terms to be considered as arguments, and propose methods to choose among them based on propositional minimisation.
منابع مشابه
Inductive Logic Programming: Issues, Results and the LLL Challenge (abstract)
Inductive Logic Programming (ILP) [9, 11] is the area of AI which deals with the induction of hypothesised predicate definitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and hypotheses. ILP is differentiated from most other forms of Machine Learning (ML) both by its use of an expressive representation language ...
متن کاملInductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic
Inductive Logic Programming (ILP) is the area of AI which deals with the induction of hypothesised predicate deenitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and hypotheses. ILP is diierentiated from most other forms of Machine Learning (ML) both by its use of an expressive representation language and its ab...
متن کاملAn Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints
We present a novel technique for jointly predicting semantic arguments for lexical predicates. The task is to find the best matching between semantic roles and sentential spans, subject to structural constraints that come from expert linguistic knowledge (e.g., in the FrameNet lexicon). We formulate this task as an integer linear program (ILP); instead of using an off-the-shelf tool to solve th...
متن کاملSystematic Predicate Invention in Inductive Logic Programming
We propose in this paper a new approach for learning predicate deenitions from examples and an initial theory. The particularity of this approach consists in inventing a new predicate at most steps of learning; once the learning task is ended, most invented predicates are removed by unfolding techniques. Nevertheless, some predicates remain in the learned deenitions, either because they enable ...
متن کاملStacked Structure Learning for Lifted Relational Neural Networks
Lifted Relational Neural Networks (LRNNs) describe relational domains using weighted firstorder rules which act as templates for constructing feed-forward neural networks. While previous work has shown that using LRNNs can lead to state-of-the-art results in various ILP tasks, these results depended on hand-crafted rules. In this paper, we extend the framework of LRNNs with structure learning, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1994