75 research outputs found

    Causal Intervention-based Prompt Debiasing for Event Argument Extraction

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    Prompt-based methods have become increasingly popular among information extraction tasks, especially in low-data scenarios. By formatting a finetune task into a pre-training objective, prompt-based methods resolve the data scarce problem effectively. However, seldom do previous research investigate the discrepancy among different prompt formulating strategies. In this work, we compare two kinds of prompts, name-based prompt and ontology-base prompt, and reveal how ontology-base prompt methods exceed its counterpart in zero-shot event argument extraction (EAE) . Furthermore, we analyse the potential risk in ontology-base prompts via a causal view and propose a debias method by causal intervention. Experiments on two benchmarks demonstrate that modified by our debias method, the baseline model becomes both more effective and robust, with significant improvement in the resistance to adversarial attacks

    The Development and Application of a Dot-ELISA Assay for Diagnosis of Southern Rice Black-Streaked Dwarf Disease in the Field

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    Outbreaks of the southern rice black-streaked dwarf virus (SRBSDV) have caused significant crop losses in southern China in recent years, especially in 2010. There are no effective, quick and practicable methods for the diagnosis of rice dwarf disease that can be used in the field. Traditional reverse transcription-polymerase chain reaction (RT-PCR) methodology is accurate but requires expensive reagents and instruments, as well as complex procedures that limit its applicability for field tests. To develop a sensitive and reliable assay for routine laboratory diagnosis, a rapid dot enzyme-linked immunosorbent assay (dot-ELISA) method was developed for testing rice plants infected by SRBSDV. Based on anti-SRBSDV rabbit antiserum, this new dot-ELISA was highly reliable, sensitive and specific toward SRBSDV. The accuracy of two blotting media, polyvinylidene fluoride membrane (PVDF membrane) and nitrocellulose filter membrane (NC membrane), was compared. In order to facilitate the on-site diagnosis, three county laboratories were established in Shidian (Yunnan province), Jianghua (Hunan Province) and Libo (Guizhou province). Suspected rice cases from Shidian, Yuanjiang and Malipo in Yunnan province were tested and some determined to be positive for SRBSDV by the dot-ELISA and confirmed by the One Step RT-PCR method. To date, hundreds of suspected rice samples collected from 61 districts in southwestern China have been tested, among which 55 districts were found to have rice crops infected by SRBSDV. Furthermore, the test results in the county laboratories showed that Libo, Dehong (suspected samples were sent to Shidian) and Jianghua were experiencing a current SRBSDV outbreak

    flexibleatomreceptormodelstudyontyrosinekinaseinhibitors

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    利用柔性原子受体模型(FLARM)方法对一系列的异黄酮和喹诺酮衍生物表皮生长因子受体酪氨酸激酶抑制剂进行了三维定量构效关系研究,得到了合理的构效关系模型。FLARM方法的计算结果还给出了虚拟的受体模型,该模型说明了抑制剂与受体之间可能的相互作用。这些相互作用包括两个氢键和一个硫-芳香相互作用,以上结果仅仅是由7个化合物得到的

    flexibleatomreceptormodelstudyontyrosinekinaseinhibitors

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    利用柔性原子受体模型(FLARM)方法对一系列的异黄酮和喹诺酮衍生物表皮生长因子受体酪氨酸激酶抑制剂进行了三维定量构效关系研究,得到了合理的构效关系模型。FLARM方法的计算结果还给出了虚拟的受体模型,该模型说明了抑制剂与受体之间可能的相互作用。这些相互作用包括两个氢键和一个硫-芳香相互作用,以上结果仅仅是由7个化合物得到的

    awebbasedtraditionalchinesemedicinechemicaldatabase

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    为了研究中药以及通过WWW来交流中药的相关信息,开发了中药化学数据库和基于Web的检索程序。本文简单介绍了中药化学数据库,说明了在开发程序中所使用的各种技术,包括ASP、VRML和JavaScript。另外还给出了一些应用实例

    definitionofapharmacophoreforepidermalgrowthfactorreceptortyrosinekinaseinhibitors

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    根据一系列表皮生长因子受体酪氨酸激酶抑制剂的三维定量构效关系研究,得到了该类抑制剂的药效团,研究结果与Novartis的药效团模型相当类似。药效团包括一个氢键受体,一个氢键给体,一个疏水区和一个带有氯或溴原子的苯环。该药效团对于研究表皮生长因子受体酪氨酸激酶抑制剂结构与活性的关系具有重要的意义。通过三维数据库搜索可能会得到新的先导化合物
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