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Titlebook: Web Information Systems and Technologies; 18th International C Massimo Marchiori,Francisco José Domínguez Mayo,Jo Conference proceedings 20

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11#
發(fā)表于 2025-3-23 11:51:02 | 只看該作者
,Scaffolding Process-Aware Information Systems with?the?AKIP Platform,rrors, and increasing productivity by eliminating manual and repetitive tasks. Over the past few years, the number of BPA platforms has increased, including both open-source and proprietary solutions. However, some challenges and limitations still exist related to the adoption of these solutions, su
12#
發(fā)表于 2025-3-23 17:52:11 | 只看該作者
13#
發(fā)表于 2025-3-23 21:36:09 | 只看該作者
Grammar-Based Question Classification Using Ensemble Learning Algorithms,tion-answering systems. Differentiating between factoid and non-factoid questions is a particularly difficult task. Different methods have been suggested to improve the identification and classification of factoid questions. Most of these methods rely on semantic features and bag-of-words. This rese
14#
發(fā)表于 2025-3-23 23:54:52 | 只看該作者
Grammar-Based Question Classification Using Ensemble Learning Algorithms,tion-answering systems. Differentiating between factoid and non-factoid questions is a particularly difficult task. Different methods have been suggested to improve the identification and classification of factoid questions. Most of these methods rely on semantic features and bag-of-words. This rese
15#
發(fā)表于 2025-3-24 03:11:19 | 只看該作者
16#
發(fā)表于 2025-3-24 07:28:43 | 只看該作者
17#
發(fā)表于 2025-3-24 10:45:09 | 只看該作者
18#
發(fā)表于 2025-3-24 18:47:59 | 只看該作者
,Integrating Linguistic and?Citation Information with?Transformer for?Predicting Top-Cited Papers,processing, the Transformer model is widely used in fields as diverse as image processing and network science. Transformer models trained on large datasets have been shown to perform well on different tasks when trained on additional small amounts of new data. Most studies of classification and regr
19#
發(fā)表于 2025-3-24 21:56:15 | 只看該作者
20#
發(fā)表于 2025-3-25 02:34:35 | 只看該作者
,Soft Web Intelligence with?the?J-CO Framework,However, variety and vastness of the Web are still making this task a hard challenge..Nonetheless, the Web is evolving. An example is the advent of the . format as the practical standard for exchanging data over the Internet..In our previous work, we proposed the concept of Soft Web Intelligence: it
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