Structure-sensitive semantic matching for aggregate question answering over knowledge base

Aggregate question answering essentially returns answers for given questions by obtaining query graphs with unique dependencies between values and corresponding objects. Word order dependency, as the key to uniquely identify dependency of the query graph, reflects the dependencies between the words in the question. However, due to the semantic gap caused by the expression difference between questions encoded with word vectors and query graphs represented with logical formal elements, it is not trivial to match the correct query graph for the question. Most existing approaches design more expressive query graphs for complex questions and rank them just by directly calculating their similarities, ignoring the semantic gap between them. In this paper, we propose a novel Structure-sensitive Semantic Matching(SSM) approach that learns aligned representations of dependencies in questions and query graphs to eliminate their gap. First, we propose a cross-structure matching module to bridge the gap between two modalities(i.e., textual question and query graph). Then, we propose an entropy-based gated AQG filter to remove the structural noise caused by the uncertainty of dependencies. Finally, we present a two-channel query graph representation that fuses the semantics of abstract structure and grounding content of the query graph explicitly. Experimental results show that SSM could learn aligned representations of questions and query graphs to eliminate the gaps between their dependencies, and improves up to 12% (F1 score) on aggregation questions of two benchmark datasets.     

Generating Questions Based on Semi-Automated and End-to-End Neural Network

With the emergence of large-scale knowledge base, how to use triple information to generate natural questions is a key technology in question answering systems. The traditional way of generating questions require a lot of manual intervention and produce lots of noise. To solve these problems, we propose a joint model based on semi-automated model and End-to-End neural network to automatically generate questions. The semi-automated model can generate question templates and real questions combining the knowledge base and center graph. The End-to-End neural network directly sends the knowledge base and real questions to BiLSTM network. Meanwhile, the attention mechanism is utilized in the decoding layer, which makes the triples and generated questions more relevant. Finally, the experimental results on SimpleQuestions demonstrate the effectiveness of the proposed approach.     

课程群案例嵌入协同教学模式的探索

在课程群的教学中由于每门课程各自独立开展教学,缺乏知识的融合和衔接,导致学生运用综合知识解决问题的能力较弱。在课程群的教学中采用案例嵌入协同教学模式,将完整的工程案例嵌入到课程群各门课程的教学中,协同规划各门课程的教学任务,每门课程再围绕案例展开研究性教学。通过嵌入的工程案例衔接各门课程的知识点,帮助学生建构完整的知识体系,强化工程应用的概念；同时通过研究性教学,培养学生分析问题和解决问题的能力,两部分相结合,提高了学生运用综合知识解决复杂问题的能力。     

Sensitive Mother-to-Adolescent Disclosures After Divorce: Is the Experience of Sons Different From That of Daughters?

This study addressed two main questions: (a) Are adolescent sons and daughters exposed to sensitive maternal disclosures after divorce with similar frequency and in similar detail? and (b) Does gender act as a moderator in the association between maternal disclosures and adolescent adjustment difficulties? Forced-choice and open-ended data were collected from 194 adolescents within 2 years after their parents' divorce. Quantitative analyses revealed that although the majority of adolescents experience some level of maternal disclosure, neither frequency nor detail of maternal disclosure differed as a function of adolescent gender. Frequent and detailed maternal disclosures were associated with adolescent adjustment difficulties, primarily psychological distress. Gender did not moderate that significant association. Qualitative analysis shed light on the link between maternal disclosures and adolescent distress, suggested the importance of how disclosures are made, and revealed several gender differences in reactions to maternal disclosures. Implications of the findings are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

晋城市煤炭加工利用现状、存在问题及发展建议

阐述了晋城市煤加工利用的现状 ,分析了煤炭加工利用存在的问题 ,提出了今后的发展建议     

废纸脱墨剂XYT-4B应用工艺探讨

介绍在废纸脱墨中,各种化学品对废纸脱墨效果的影响,以及工艺参数中应控制的指标。     

Trauma, dissociation, and conflict: The space where neuroscience, cognitive science, and psychoanalysis overlap.

The authors describe their scientific and clinical interests in developing the panel Trauma, Dissociation, and Conflict: The Space Where Neuroscience, Cognitive Science, and Psychoanalysis Overlap, given at the 22nd Annual Spring Meeting of the Division of Psychoanalysis of the American Psychological Association. They cite the influence of the panelists, Philip M. Bromberg, Wilma Bucci, and Joseph LeDoux, on their own work. Specializing in the treatment of chronic pain, Anderson has developed a relational intersubjective technique informed by this interdisciplinary approach. Gold's work has focused on the distinction between dissociative processes and repression in traumatic memory. The relevance of trauma, dissociation, and conflict, heightened since September 11, 2001, could not have been anticipated in the planning of the panel. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

加油站油品用体积交接存在的问题及建议

叙述了目前加油站在实行按任意温度下的体积交接，由于未考虑油品体积随温度、压力、密度的变化，出现了零售损耗很大的问题。建议加油站在现阶段采用“准标准体积”交接；在由体积转换为质量计算加油站损溢时，使用油库当月发出的平均密度；当财会核销损溢时，不使用盘存的体积和固定密度进行计算的方法，而使用实际盘点的质量数，以真实反映加油站的当期损溢。     

包钢选矿厂降低铁精矿中氟含量的技术攻关

为了降低铁精矿氟含量,通过采取控制磨矿粒度、改进浮选工艺、采用高效捕收剂等措施,使包钢选矿厂铁精矿氟含量由1999年的0.75%降低到2000年的0.65%、2001年的0.58%,为包钢环保工作目标的完成做出了突出贡献.     

加油站设置发电机组问题的探讨

针对有些加油站在采用外接电源的同时配备发电机组存在的诸如使加油站安全要求提高、设备投入费用增加、运营管理成本增加、发电机组使用效率低和安全隐患增加等问题，建议本着经济的原则，在缺电少电比较严重的地区或引用外接电源有困难的加油站可另外设置发电机组，对遇偶然性停电的加油站，应采用在市场上临时租赁移动发动机业务或由公司组建自己的移动式发电机组服务部门，以保证加油站应急用电需求。