Tracking user-role evolution via topic modeling in community question answering     

Chaogang Fu 《Information processing & management》2019,56(6):102075

Community question answering (CQA) services that enable users to ask and answer questions are popular on the internet. Each user can simultaneously play the roles of asker and answerer. Some work has aimed to model the roles of users for potential applications in CQA. However, the dynamic characteristics of user roles have not been addressed. User roles vary over time. This paper explores user representation by tracking user-role evolution, which could enable several potential applications in CQA, such as question recommendation. We believe this paper is the first to track user-role evolution and investigate its influence on the performance of question recommendation in CQA. Moreover, we propose a time-aware role model (TRM) to effectively track user-role evolution. With different independence assumptions, two variants of TRM are developed. Finally, we present the TRM-based approach to question recommendation, which provides a mechanism to naturally integrate the user-role evolution with content relevance between the answerer and the question into a unified probabilistic framework. Experiments using real-world data from Stack Overflow show that (1) the TRM is valid for tracking user-role evolution, and (2) compared with baselines utilizing role based methods, our TRM-based approach consistently and significantly improves the performance of question recommendation. Hence, our approach could enable several potential applications in CQA.  相似文献   

中文自动问答中旬子相似度计算研究     

杨思春  陈家骏 《情报学报》2008,27(1):35-41

句子相似度计算是自动问答系统的重要理论基础和关键实现技术.目前,用于中文自动问答系统的句子相似度计算方法很多,由于缺乏系统的分析,给研究人员带来了较大的不便.依据所利用的特征信息,可以将这些方法分为四类,即基于关键词信息、基于语义信息、基于句法结构信息以及基于多重信息.通过对各类方法实验结果的比较,指出各自的优势和不足.同时指出,基于多重信息的方法是当前的主流方法,实现不同特征信息的最佳权重分配是该类方法今后的研究重点.另外,还提出一个有关相似度概念认识上的看法,即对于中文自动问答系统,实质上依据的是句子的相关度,而不是句子的相似度.通过本文的研究,旨在为中文自动问答领域的句子相似度计算研究提供一定的参考.  相似文献   

Analysis of Statistical Question Classification for Fact-Based Questions   总被引：1，自引：0，他引：1  

Donald Metzler  W. Bruce Croft 《Information Retrieval》2005,8(3):481-504

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.  相似文献   

基于“问题-用户”的网络问答社区专家发现方法研究     

龚凯乐  成颖 《图书情报工作》2016,60(24):115-121

[目的/意义] 以网络问答社区为研究对象,提出基于“问题-用户”传播网络的专家发现方法,为建立用户激励机制、完善专家推荐方法提供借鉴。[方法/过程] 通过分析开放问答模式的特点,以“问题”和“用户”为节点、“答题关系”为有向边,构建“问题-用户”权威值传播网络,利用答案质量改进加权的HITS算法。[结果/结论] 提出的算法可以较好地兼顾用户的答题数量与答案质量,能够选择出活跃度高、知识渊博的用户作为专家。  相似文献   

对农村中学留守儿童教育问题的一点思考     

李江芬 《怀化学院学报》2006,(Z1)

伴随着中国城市化进程的加快,越来越多的农村剩余劳动力流入城市,由此而产生的农村留守儿童的教育问题已成为中国社会转型期的一个独特社会问题。通过调查发现,农村留守儿童在安全、学习、品行、心理等方面存在着比较突出的问题。要解决这些问题,需要家庭、学校、社会及政府各方共同努力,协调合作。  相似文献   

新形势下高校思想政治工作面临的问题与对策     

孙桂梅 《济宁师范专科学校学报》2007,28(5):99-101

新时期高校大学生的思想工作面临新情况和新问题.如何引导当代大学生正确认识社会、认识自我、树立正确的人生观和价值观是当前高校思想政治工作的重要任务.大学生的思想政治工作要更新观念、与时俱进.  相似文献   

浅谈地理课堂教学兴趣的培养   总被引：1，自引：0，他引：1  

张兴 《珠海城市职业技术学院学报》2007,13(1):85-87

地理作为一门重要的基础学科,在现实考试的大背景下,学生对于其重视程度不断下降,面对这样的困境,培养学生对于地理的兴趣是如今地理教学的唯一出路,融洽的师生关系是激发兴趣的基础;在授课时创设良好的问题情境,紧密结合地图,电脑多媒体等手段进行地理教学,积极引导学生大胆发言,展现自己的思维;同时培养学生良好的地理学习动机、学习习惯、掌握良好的学习方法,使学生真正喜欢上地理学科.  相似文献   

User simulations for evaluating answers to question series     

Jimmy Lin 《Information processing & management》2007

Recently, question series have become one focus of research in question answering. These series are comprised of individual factoid, list, and “other” questions organized around a central topic, and represent abstractions of user–system dialogs. Existing evaluation methodologies have yet to catch up with this richer task model, as they fail to take into account contextual dependencies and different user behaviors. This paper presents a novel simulation-based methodology for evaluating answers to question series that addresses some of these shortcomings. Using this methodology, we examine two different behavior models: a “QA-styled” user and an “IR-styled” user. Results suggest that an off-the-shelf document retrieval system is competitive with state-of-the-art QA systems in this task. Advantages and limitations of evaluations based on user simulations are also discussed.  相似文献   

Improving graph-based random walks for complex question answering using syntactic,shallow semantic and extended string subsequence kernels     

Yllias Chali  Sadid A. Hasan  Shafiq R. Joty 《Information processing & management》2011

The task of answering complex questions requires inferencing and synthesizing information from multiple documents that can be seen as a kind of topic-oriented, informative multi-document summarization. In generic summarization the stochastic, graph-based random walk method to compute the relative importance of textual units (i.e. sentences) is proved to be very successful. However, the major limitation of the TF^*IDF approach is that it only retains the frequency of the words and does not take into account the sequence, syntactic and semantic information. This paper presents the impact of syntactic and semantic information in the graph-based random walk method for answering complex questions. Initially, we apply tree kernel functions to perform the similarity measures between sentences in the random walk framework. Then, we extend our work further to incorporate the Extended String Subsequence Kernel (ESSK) to perform the task in a similar manner. Experimental results show the effectiveness of the use of kernels to include the syntactic and semantic information for this task.  相似文献   

Automatic categorization of questions for user-interactive question answering     

Wanpeng Song  Liu Wenyin  Naijie Gu  Xiaojun Quan  Tianyong Hao 《Information processing & management》2011

Question categorization, which suggests one of a set of predefined categories to a user’s question according to the question’s topic or content, is a useful technique in user-interactive question answering systems. In this paper, we propose an automatic method for question categorization in a user-interactive question answering system. This method includes four steps: feature space construction, topic-wise words identification and weighting, semantic mapping, and similarity calculation. We firstly construct the feature space based on all accumulated questions and calculate the feature vector of each predefined category which contains certain accumulated questions. When a new question is posted, the semantic pattern of the question is used to identify and weigh the important words of the question. After that, the question is semantically mapped into the constructed feature space to enrich its representation. Finally, the similarity between the question and each category is calculated based on their feature vectors. The category with the highest similarity is assigned to the question. The experimental results show that our proposed method achieves good categorization precision and outperforms the traditional categorization methods on the selected test questions.  相似文献