The representation of multimodal user interface dialogues using discourse pegs

LuperFoy, Susann

doi:10.3115/981967.981971

Cited by 25 publications

(13 citation statements)

References 15 publications

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“…In most instances an indexical such as theme or new will be bound to specific, typed individual, but since we are updating the situation incrementally as each word is scanned, there are always moments where a phrase is incomplete, its head and type not yet identified, but we still need to establish its impact on the situation. To do this we are using Susan Luperfoy's notion of a peg (Luperfoy, 1992).…”

Section: Indexical Functional Variablesmentioning

confidence: 99%

C3: The Compositional Construction of Content: A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge that will Enable More Natural and Effective Communication with Automomous Systems

McDonald¹,

Pustejovsky²

2014

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Section: Indexical Functional Variablesmentioning

confidence: 99%

C3: The Compositional Construction of Content: A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge that will Enable More Natural and Effective Communication with Automomous Systems

McDonald¹,

Pustejovsky²

2014

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“…We have merged and extended the approaches of LuperFoy [9] and Salmon-Alt [18] to represent discourse beyond standard approaches in computational linguistics. The basic structure is a three-tiered representation model where for each object in any input and output modality we store a so-called modality object for that particular event.…”

Section: The Discourse Memorymentioning

confidence: 99%

SmartKom

Reithinger

Alexandersson

Becker

et al. 2003

Proceedings of the 5th International Conference on Multimodal Interfaces

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The development of an intelligent user interface that supports multimodal access to multiple applications is a challenging task. In this paper we present a generic multimodal interface system where the user interacts with an anthropomorphic personalized interface agent using speech and natural gestures. The knowledge-based and uniform approach of SmartKom enables us to realize a comprehensive system that understands imprecise, ambiguous, or incomplete multimodal input and generates coordinated, cohesive, and coherent multimodal presentations for three scenarios, currently addressing more than 50 different functionalities of 14 applications. We demonstrate the main ideas in a walk through the main processing steps from modality fusion to modality fission.

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“…Concerning anaphora resolution in dialogues, only little research has been carried out in this area to our knowledge. LuperFoy (1992) does not present a corpus study, meaning that statistics about the distribution of individual and abstract object anaphora or about the success rate of her approach are not available. Byron and Stent (1998) present extensions of the centering model (Grosz et al, 1995) for spoken dialogue and identify several problems with the model.…”

Section: Comparison To Related Workmentioning

confidence: 99%

Resolving discourse deictic anaphora in dialogues

Eckert

Strube

1999

Proceedings of the Ninth Conference on European Chapter of the Association for Computational Linguistics -

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Most existing anaphora resolution algorithms are designed to account only for anaphors with NP-antecedents. This paper describes an algorithm for the resolution of discourse deictic anaphors, which constitute a large percentage of anaphors in spoken dialogues. The success of the resolution is dependent on the classification of all pronouns and demonstratives into individual, discourse deictic and vague anaphora. Finally, the empirical results of the application of the algorithm to a corpus of spoken dialogues are presented.

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The representation of multimodal user interface dialogues using discourse pegs

Cited by 25 publications

References 15 publications

C3: The Compositional Construction of Content: A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge that will Enable More Natural and Effective Communication with Automomous Systems

C3: The Compositional Construction of Content: A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge that will Enable More Natural and Effective Communication with Automomous Systems

SmartKom

Resolving discourse deictic anaphora in dialogues

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