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Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assigning or experimentally tuning the weights of the features. In this paper, we discuss how to develop learning strategies in order to obtain the optimal feature weights automatically, which can be used for assigning a sound score to a sentence characterized with a set of features. The two fundamental issues are about training data and learning models. To save the costly manual annotation time and effort, we construct the training data by labeling the sentence with a "true" score calculated according to human summaries. The Support Vector Regression (SVR) model is then used to learn how to relate the "true" score of the sentence to its features. Once the relations have been mathematically modeled, SVR is able to predict the "estimated" score for any given sentence. The evaluations by ROUGE-2 criterion on DUC 2006 and DUC 2005 document sets demonstrate the competitiveness and the adaptability of the proposed approaches.

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Improving green dynamic capability is an important business strategy to enhance enterprises' competitive advantage. This study proposes a theoretical framework that considers the business model and green production to analyze how green dynamic capability can be fostered by enterprises. In this study, 202 managers of Chinese construction enterprises were questionnaire surveyed, and partial least squares structural equation modelling was used to test hypotheses. Results show that: (a) the business model is positively related to green dynamic capability, so enterprises need to adjust business model to balance economic benefits and environmental responsibility; and (b) green production directly and indirectly affect green dynamic capability through a positive mediating role of the business model. This study extends the current literature on dynamic capability by investigating the relationship between the business model, green production, and green dynamic capability. This study also provides guidance for enterprises to enhance green dynamic capability and promote sustainable development. Highlights This paper proposes a theoretical framework that takes into account business models and green production to analyze how to cultivate and enhance enterprises' green dynamic capability. Takes China as an example to empirically analyze the impact of business model and green production on the green dynamic capability of enterprises, and eventually lay a theoretical guidance for enterprises to achieve green development goals. Good business model is positively correlated with green dynamic capability. The higher the level of green production, the stronger the positive relationship between business model and green dynamic capability.