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Titlebook: Conceptual Structures: From Information to Intelligence; 18th International C Madalina Croitoru,Sébastien Ferré,Dickson Lukose Conference p

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楼主: radionuclides
发表于 2025-3-26 22:47:51 | 显示全部楼层
Therese Keane,Cathy Lewin,Rosa Bottinostantiated according to the initial keywords. Finally, the user can modify the pre-written query he/she selects in order to fit his/her initial needs as well as possible. The query graph obtained is projected into the annotation graphs associated with the documents. The documents which answer the query are returned to the user.
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https://doi.org/10.1007/978-3-030-48442-2zation level (anti-unification of logic forms). Generalization diagrams are intended to be more accurate semantic representation than conventional conceptual graphs for individual sentences because only syntactic commonalities are represented at semantic level.
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Use of Domain Knowledge in the Automatic Extraction of Structured Representations from Patient-Relate is encoded not only in the conceptual structures, which provide the ontological framework for the IE task, but also in the IE templates that are designed to capture domain semantics. A prototype system and IE examples of domain knowledge usage are considered together with results of the current prototype evaluation.
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An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patternsstantiated according to the initial keywords. Finally, the user can modify the pre-written query he/she selects in order to fit his/her initial needs as well as possible. The query graph obtained is projected into the annotation graphs associated with the documents. The documents which answer the query are returned to the user.
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Natural Intelligence – Commonsense Question Answering with Conceptual Graphsring, by using the state of the art tools such as C&C tools, Cogitant and Open Cyc. C&C tools are used for parsing natural language, Cogitant is used for Conceptual Graph operations, and Open Cyc is used for upper ontology and commonsense handling.
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