In this paper,we propose a novel co-occurrence probabilities based similarity measure for inducing semantic classes.Clustering with the new similarity measure outperforms the widely used distance based on Kullback-Lei...In this paper,we propose a novel co-occurrence probabilities based similarity measure for inducing semantic classes.Clustering with the new similarity measure outperforms the widely used distance based on Kullback-Leibler divergence in precision,recall and F1 evaluation.In our experiments,we induced semantic classes from unannotated in-domain corpus and then used the induced classes and structures to generate large in-domain corpus which was then used for language model adaptation.Character recognition rate was improved from 85.2% to 91%.We imply a new measure to solve the lack of domain data problem by first induction then generation for a dialogue system.展开更多
Contextual logic provides a mechanism to reason about modules. In this paper, this theory of modules is extended to a context theory of classes where class is in the true spirit of object-oriented databases. The logic...Contextual logic provides a mechanism to reason about modules. In this paper, this theory of modules is extended to a context theory of classes where class is in the true spirit of object-oriented databases. The logic, referred to as CLOG,is class-based. CLOG supports class, object identity, multiple role of object,monotonic and non-monotonic inheritance of data a-nd method, method factor-ing, views, derived and query classes. Views and derived classes are queries in themselves- Objects are pure data terms representing the ground instances of facts in the class. 'Object identity is a first class term in the logic. Inheritance is handled through delegation.展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos. 10925419,90920302,10874203,60875014,61072124,11074275,11161140319.
文摘In this paper,we propose a novel co-occurrence probabilities based similarity measure for inducing semantic classes.Clustering with the new similarity measure outperforms the widely used distance based on Kullback-Leibler divergence in precision,recall and F1 evaluation.In our experiments,we induced semantic classes from unannotated in-domain corpus and then used the induced classes and structures to generate large in-domain corpus which was then used for language model adaptation.Character recognition rate was improved from 85.2% to 91%.We imply a new measure to solve the lack of domain data problem by first induction then generation for a dialogue system.
文摘Contextual logic provides a mechanism to reason about modules. In this paper, this theory of modules is extended to a context theory of classes where class is in the true spirit of object-oriented databases. The logic, referred to as CLOG,is class-based. CLOG supports class, object identity, multiple role of object,monotonic and non-monotonic inheritance of data a-nd method, method factor-ing, views, derived and query classes. Views and derived classes are queries in themselves- Objects are pure data terms representing the ground instances of facts in the class. 'Object identity is a first class term in the logic. Inheritance is handled through delegation.
