DIS 发表于 2025-3-30 10:21:56
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Supply Chain Management with SAP APO™e. REPENTINO wishes to minimize the problems developers face due to the limited availability of this type of lexical-semantic resources for Portuguese. The data stored in REPENTINO was mostly extracted from corpora and from the web using simple semi-automated methods. Currently, REPENTINO stores nea主讲人 发表于 2025-3-30 17:21:40
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Supply Chain Management with SAP APO™peech recognition with the machine translation modules. Transducer inference algorithms to automatically learn the translation module are also presented. Good experimental results confirmed the adequacy of these techniques to limited-domain tasks. In particular, the reordering algorithm proposed sho施魔法 发表于 2025-3-31 05:19:34
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Christopher S. Tang,Kumar Rajaram,Jihong Ou procedure. These rules try to obtain soft matches between candidate entities found in text and instances contained in a wide-scope gazetteer, and avoid the need for coding large sets of rules by exploiting lexical similarities. Using this matching procedure, SIEMÊS generates a set of classification笨拙的你 发表于 2025-3-31 17:36:51
Tonya Boone,Ram Ganeshan,Alan J. Stenger term generation and matching in an information retrieval environment. We present tools that automatically perform nominalization for lexical normalization in Portuguese. Comparing the effects of three alternative strategies (stemming, lemmatizing, and our proposal: nominalization), we demonstrate tLumbar-Spine 发表于 2025-3-31 23:43:13
Christopher S. Tang,Kumar Rajaram,Jihong Ouonnected as a chain of filters, apply successive transformations to the data that flows through the system. Hence when integrating such tools, one may face problems that lead to information losses, such as: (i) tools discard information from their input which will be required by other tools further