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- 저자 : S. Jaso (검색결과 2 건)
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Structual Ambiguity and Conceptural Information Retrieval
( Mathis Huey Chyun Chen ),( Jaso J. S. Chang ) 한국언어정보학회 1995 국제 워크샵 Vol.1995 No.-
Many researches found lexical preferences to be critical in resolving attachment ambiguity [WFB 90][FBK 82][ MP 80]. Most notably, information from Verb-Obj-Prep-Noun structures (VOPN) has been used to show that LA is very effective in the resolution of PP-attachment ambiguity [HR. 93]. We investigated extensions to the lexical association strategy. The extensions include using conceptual association and acquiring the association information from different kind of lexical relations not limited to relations in VOPN structures. We refer to this approach as DeepAttach. Thus, it is possible to take information from all kinds of syntactical structures as long as they are alternations of a common deep structure [PU93] related to that implied by the intended attachment. A collection of sense-disambiguated sentences serves as the source of conceptual relations. No pre-processing is done to find the conceptual relations in these sentences. Instead, information retrieval technique is used to retrieve conceptually most relevant sentences using the words from the ambiguous structure as query. The prepositional phrase is then attached in favor of the constituent that has more conceptual presence in the ranked retrieved sentences. An experiment was implemented to embody the idea. The result shows that 75% of pP``s in 260 VOPN structures can be attached correctly, when simple lexical relevance was considered.
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H.R. Godini,S. Xiao,M. Kim,N. Holst,S. Jaso,O. Gorke,J. Steinbach,G. Wozny 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
Performance of the oxidative coupling of methane (OCM) reactions in a porous packed bed membrane reactor (PBMR) was analyzed using a detailed two-dimensional model which considers the mass and heat transfer in both radial and axial directions. In order to investigate the relative effects of diffusion and catalyst activity on the predicted performance of the membrane reactor, the kinetics of two different catalysts, La2O3/CaO and Mn–Na2WO4/SiO2, were implemented in the model. It was observed that the significant overprediction of methane conversion by one-dimensional model, which is sometimes twice of its real value, can be avoided using the two-dimensional model. The mechanisms through which different parameters can be exploited to improve the reactor performance were also studied. It was observed, the selectivity and yield of the desired products in membrane reactor can be significantly improved by tunning the driving force radial for heat transfer and the operating temperature inside the reactor. This is achieved by exploiting a proper set of operating temperature for pre-heating and the surrounding medium temperature. Moreover, exploiting other parameters such as feed flow rate to ensure a proper contact time and effective axial and radial convection heat transfer was also investigated. The results of the experimental investigation of the Mn–Na2WO4/SiO2 catalyst in a membrane reactor, confirmed the precision of the developed model. The reported detailed analysis in this paper enables one to predict the both reaction and thermal performance of the OCM membrane reactor and improve its design characteristics accordingly.
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