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- W1524739968 abstract "We describe an argument interpretation mechanism which receives as input a segmented argument composed of Natural Language sentences, and employs the Minimum Message Length Principle to select an interpretation among candidate options. This principle enables our mechanism to cope with noisy input in terms ofwording, beliefs and argument structure.The performance of our system was evaluated by distorting automatically generated arguments, and passing them to the system for interpretation. Our evaluation showed that in most cases, the interpretations produced by the system matched precisely or almost-precisely the representation of the original arguments.KeywordsMessage LengthInput SentencePlan RecognitionNatural Language SentenceMinimum Message LengthThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1524739968 created "2016-06-24" @default.
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- W1524739968 date "2002-01-01" @default.
- W1524739968 modified "2023-09-27" @default.
- W1524739968 title "Argument Interpretation Using Minimum Message Length" @default.
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- W1524739968 doi "https://doi.org/10.1007/3-540-36187-1_26" @default.
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