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Retroactive Recognition of Interleaved Plans for Natural Language Dialogue

By Nate Blaylock


State of the art plan recognition for use in natural language dialogue systems has progressed in coverage of discourse phenomena and plan navigation strategies. Most systems, however, suffer from several deficiencies, namely, they do not have a specific strategy for the (inevitable) case where they make an incorrect hypothesis inference and they cannot handle interleaved plan navigation, where a user jumps back and forth between several plans. In addition, most plan recognition systems cannot handle the rich variety of possible natural language utterances a dialogue system may receive as input, especially the case where a language utterance corresponds to several actions which the system considers to be atomic. We discuss previous work in plan recognition, especially in the area of dialogues systems. We then describe a plan recognition system which can recover from incorrect inferences, handles interleaved plan navigation, and handles several linguistic phenomena, including support for natural language multi-action paraphrase

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Year: 2001
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