ingrid,sarahg¢ Abstract. We describe an argument-interpretation mechanism based on the Minimum Message Length Principle [1], and investigate the incorporation of a model of the user’s beliefs into this mechanism. Our system receives as input an argument entered through a web interface, and produces an interpretation in terms of its underlying knowledge representation – a Bayesian network. This interpretation may differ from the user’s argument in its structure and in its beliefs in the argument propositions. The results of our evaluation are encouraging, with the system generally producing plausible interpretations of users ’ arguments.
The appeal to expert opinion is an argument form that uses the verdict of an expert to support a pos...
Qualitative and quantitative systems to deal with uncertainty coexist. Bayesian networks are a well ...
Bayesian belief networks (BNs) are well-suited to capturing vague and uncertain knowledge. However, ...
We describe an information-theoretic argument-interpretation mechanism embedded in an interactive ...
We describe a mechanism which receives as input a segmented argument composed of NL sentences, and g...
We present a probabilistic approach for the interpretation of arguments that casts the selection of ...
The web is a source of a large amount of arguments and their acceptability statuses (e.g., votes for...
User modeling is an important component of dialog systems. Most previous approaches are rulebased me...
Over the last decades the rise of forensic sciences has led to an increase in the availability of st...
Over the last decades the rise of forensic sciences has led to an increase in the availability of st...
Errors in reasoning about probabilistic evidence can have severe consequences. In the legal domain a...
Application of Bayesian belief networks in systems that interact directly with hu-man users, such as...
This paper addresses how to identify attack relations on the basis of lay arguers’ acceptability-jud...
We describe an interactive system which supports the exploration of arguments generated from Bayesia...
Over the last decades the rise of forensic sciences has led to an increase in the availability of st...
The appeal to expert opinion is an argument form that uses the verdict of an expert to support a pos...
Qualitative and quantitative systems to deal with uncertainty coexist. Bayesian networks are a well ...
Bayesian belief networks (BNs) are well-suited to capturing vague and uncertain knowledge. However, ...
We describe an information-theoretic argument-interpretation mechanism embedded in an interactive ...
We describe a mechanism which receives as input a segmented argument composed of NL sentences, and g...
We present a probabilistic approach for the interpretation of arguments that casts the selection of ...
The web is a source of a large amount of arguments and their acceptability statuses (e.g., votes for...
User modeling is an important component of dialog systems. Most previous approaches are rulebased me...
Over the last decades the rise of forensic sciences has led to an increase in the availability of st...
Over the last decades the rise of forensic sciences has led to an increase in the availability of st...
Errors in reasoning about probabilistic evidence can have severe consequences. In the legal domain a...
Application of Bayesian belief networks in systems that interact directly with hu-man users, such as...
This paper addresses how to identify attack relations on the basis of lay arguers’ acceptability-jud...
We describe an interactive system which supports the exploration of arguments generated from Bayesia...
Over the last decades the rise of forensic sciences has led to an increase in the availability of st...
The appeal to expert opinion is an argument form that uses the verdict of an expert to support a pos...
Qualitative and quantitative systems to deal with uncertainty coexist. Bayesian networks are a well ...
Bayesian belief networks (BNs) are well-suited to capturing vague and uncertain knowledge. However, ...