10,133 research outputs found

    On the Generation of Medical Question-Answer Pairs

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    Question answering (QA) has achieved promising progress recently. However, answering a question in real-world scenarios like the medical domain is still challenging, due to the requirement of external knowledge and the insufficient quantity of high-quality training data. In the light of these challenges, we study the task of generating medical QA pairs in this paper. With the insight that each medical question can be considered as a sample from the latent distribution of questions given answers, we propose an automated medical QA pair generation framework, consisting of an unsupervised key phrase detector that explores unstructured material for validity, and a generator that involves a multi-pass decoder to integrate structural knowledge for diversity. A series of experiments have been conducted on a real-world dataset collected from the National Medical Licensing Examination of China. Both automatic evaluation and human annotation demonstrate the effectiveness of the proposed method. Further investigation shows that, by incorporating the generated QA pairs for training, significant improvement in terms of accuracy can be achieved for the examination QA system.Comment: AAAI 202

    Observation of electric current induced by optically injected spin current

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    A normally incident light of linear polarization injects a pure spin current in a strip of 2-dimensional electron gas with spin-orbit coupling. We report observation of an electric current with a butterfly-like pattern induced by such a light shed on the vicinity of a crossbar shaped InGaAs/InAlAs quantum well. Its light polarization dependence is the same as that of the spin current. We attribute the observed electric current to be converted from the optically injected spin current caused by scatterings near the crossing. Our observation provides a realistic technique to detect spin currents, and opens a new route to study the spin-related science and engineering in semiconductors.Comment: 15 pages, 4 figure

    Effect Analysis on the Industrial Upgrading and Economic Growth

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    Using literature review and data analysis, this paper elaborates the connotation and the necessity of industrial upgrading, and focuses on interactive effect of the industrial upgrading and economic growth in Ji’nan by analyzing its growth and the proportion of each industry. According to the results, industrial upgrading is the strong driving force of economic development, similarly, industrial upgrading is also included in the economic development. The industrial upgrading of Ji’nan has made some achievements but problems still exist, for example, how to create the industry system with Ji’nan characteristics, promote industrial upgrading, and realize the sustainable development of Ji’nan economy
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