The Experts below are selected from a list of 14949 Experts worldwide ranked by ideXlab platform
Leo Wanner - One of the best experts on this subject based on the ideXlab platform.
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natural language generation in the context of the semantic web
Social Work, 2014Co-Authors: Nadjet Bouayadagha, Gerard Casamayor, Leo WannerAbstract:Natural Language Generation (NLG) is concerned with transforming given content input into a natural language out- put, given some Communicative Goal. Although this input can take various forms and representations, it is the semantic/conceptual representations that have always been considered as the "natural" starting ground for NLG. Therefore, it is natural that the Se- mantic Web (SW), with its machine-processable representation of information with explicitly defined semantics, has attracted the interest of NLG practitioners from early on. We attempt to provide an overview of the main paradigms of NLG from SW data, emphasizing how the Semantic Web provides opportunities for the NLG community to improve their state-of-the-art ap- proaches whilst bringing about challenges that need to be addressed before we can speak of a real symbiosis between NLG and the Semantic Web.
Thomas Rist - One of the best experts on this subject based on the ideXlab platform.
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Plan-based integration of natural language and graphics generation
Artificial Intelligence, 1993Co-Authors: Wolfgang Wahlster, Wolfgang Finkler, Hans Jürgen Profitlich, Elisabeth André, Thomas RistAbstract:Multimodal interfaces combining natural language and graphics take advantage of both the individual strength of each communication mode and the fact that several modes can be employed in parallel. The central claim of this paper is that the generation of a multimodal presentation can be considered as an incremental planning process that aims to achieve a given Communicative Goal. We describe the multimodal presentation system WIP which allows the generation of alternate presentations of the same content taking into account various contextual factors. We discuss how the plan-based approach to presentation design can be exploited so that graphics generation influences the production of text and vice versa. We show that well-known concepts from the area of natural language processing like speech acts, anaphora, and rhetorical relations take on an extended meaning in the context of multimodal communication. Finally, we discuss two detailed examples illustrating and reinforcing our theoretical claims. © 1993.
Nadjet Bouayadagha - One of the best experts on this subject based on the ideXlab platform.
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natural language generation in the context of the semantic web
Social Work, 2014Co-Authors: Nadjet Bouayadagha, Gerard Casamayor, Leo WannerAbstract:Natural Language Generation (NLG) is concerned with transforming given content input into a natural language out- put, given some Communicative Goal. Although this input can take various forms and representations, it is the semantic/conceptual representations that have always been considered as the "natural" starting ground for NLG. Therefore, it is natural that the Se- mantic Web (SW), with its machine-processable representation of information with explicitly defined semantics, has attracted the interest of NLG practitioners from early on. We attempt to provide an overview of the main paradigms of NLG from SW data, emphasizing how the Semantic Web provides opportunities for the NLG community to improve their state-of-the-art ap- proaches whilst bringing about challenges that need to be addressed before we can speak of a real symbiosis between NLG and the Semantic Web.
Wolfgang Wahlster - One of the best experts on this subject based on the ideXlab platform.
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PLANNING MULTIMODAL DISCOURSE
Proceedings of the 31st annual meeting on Association for Computational Linguistics -, 1993Co-Authors: Wolfgang WahlsterAbstract:In this talk, we will, show how techniques for planning text and discourse can be generalized to plan the structure and content of multimodal communications, that integrate natural language, pointing, graphics, and animations. The central claim of this talk is that the generation of multimodal discourse can be considered as an incremental planning process that aims to achieve a given Communicative Goal.
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Plan-based integration of natural language and graphics generation
Artificial Intelligence, 1993Co-Authors: Wolfgang Wahlster, Wolfgang Finkler, Hans Jürgen Profitlich, Elisabeth André, Thomas RistAbstract:Multimodal interfaces combining natural language and graphics take advantage of both the individual strength of each communication mode and the fact that several modes can be employed in parallel. The central claim of this paper is that the generation of a multimodal presentation can be considered as an incremental planning process that aims to achieve a given Communicative Goal. We describe the multimodal presentation system WIP which allows the generation of alternate presentations of the same content taking into account various contextual factors. We discuss how the plan-based approach to presentation design can be exploited so that graphics generation influences the production of text and vice versa. We show that well-known concepts from the area of natural language processing like speech acts, anaphora, and rhetorical relations take on an extended meaning in the context of multimodal communication. Finally, we discuss two detailed examples illustrating and reinforcing our theoretical claims. © 1993.
Gerard Casamayor - One of the best experts on this subject based on the ideXlab platform.
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natural language generation in the context of the semantic web
Social Work, 2014Co-Authors: Nadjet Bouayadagha, Gerard Casamayor, Leo WannerAbstract:Natural Language Generation (NLG) is concerned with transforming given content input into a natural language out- put, given some Communicative Goal. Although this input can take various forms and representations, it is the semantic/conceptual representations that have always been considered as the "natural" starting ground for NLG. Therefore, it is natural that the Se- mantic Web (SW), with its machine-processable representation of information with explicitly defined semantics, has attracted the interest of NLG practitioners from early on. We attempt to provide an overview of the main paradigms of NLG from SW data, emphasizing how the Semantic Web provides opportunities for the NLG community to improve their state-of-the-art ap- proaches whilst bringing about challenges that need to be addressed before we can speak of a real symbiosis between NLG and the Semantic Web.