Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management最新文献_第3页

A Mixtures-of-Trees Framework for Multi-Label Classification. 多标签分类的树混合物框架

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2014-01-01 DOI: 10.1145/2661829.2661989

Charmgil Hong, Iyad Batal, Milos Hauskrecht

引用次数: 0

A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values 一种词尺度的概率潜变量模型用于人类价值观的检测

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2014-01-01 DOI: 10.1145/2661829.2661966

Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Douglas W. Oard, K. Fleischmann, An-Shou Cheng

{"title":"A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values","authors":"Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Douglas W. Oard, K. Fleischmann, An-Shou Cheng","doi":"10.1145/2661829.2661966","DOIUrl":"https://doi.org/10.1145/2661829.2661966","url":null,"abstract":"This paper describes a probabilistic latent variable model that is designed to detect human values such as justice or freedom that a writer has sought to reflect or appeal to when participating in a public debate. The proposed model treats the words in a sentence as having been chosen based on specific values; values reflected by each sentence are then estimated by aggregating values associated with each word. The model can determine the human values for the word in light of the influence of the previous word. This design choice was motivated by syntactic structures such as noun+noun, adjective+noun, and verb+adjective. The classifier based on the model was evaluated on a test collection containing 102 manually annotated documents focusing on one contentious political issue — Net neutrality, achieving the highest reported classification effectiveness for this task. We also compared our proposed classifier with human second annotator. As a result, the proposed classifier effectiveness is statistically comparable with human annotators.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":"3 1","pages":"1489-1498"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90611060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Dyadic Event Attribution in Social Networks with Mixtures of Hawkes Processes. Hawkes过程混合社会网络中的二元事件归因。

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2013-01-01 DOI: 10.1145/2505515.2505609

Liangda Li, Hongyuan Zha

{"title":"Dyadic Event Attribution in Social Networks with Mixtures of Hawkes Processes.","authors":"Liangda Li, Hongyuan Zha","doi":"10.1145/2505515.2505609","DOIUrl":"https://doi.org/10.1145/2505515.2505609","url":null,"abstract":"In many applications in social network analysis, it is important to model the interactions and infer the influence between pairs of actors, leading to the problem of dyadic event modeling which has attracted increasing interests recently. In this paper we focus on the problem of dyadic event attribution, an important missing data problem in dyadic event modeling where one needs to infer the missing actor-pairs of a subset of dyadic events based on their observed timestamps. Existing works either use fixed model parameters and heuristic rules for event attribution, or assume the dyadic events across actor-pairs are independent. To address those shortcomings we propose a probabilistic model based on mixtures of Hawkes processes that simultaneously tackles event attribution and network parameter inference, taking into consideration the dependency among dyadic events that share at least one actor. We also investigate using additive models to incorporate regularization to avoid overfitting. Our experiments on both synthetic and real-world data sets on international armed conflicts suggest that the proposed new method is capable of significantly improve accuracy when compared with the state-of-the-art for dyadic event attribution.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":" ","pages":"1667-1672"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2505515.2505609","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32412835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

Preprocessing of informal mathematical discourse in context ofcontrolled natural language 受控自然语言语境下的非正式数学语篇预处理

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2012-10-29 DOI: 10.1145/2396761.2398487

Raúl Ernesto Gutiérrez de Piñerez Reyes, Juan Francisco Díaz-Frías

引用次数: 3

Enabling Ontology Based Semantic Queries in Biomedical Database Systems. 在生物医学数据库系统中实现基于本体的语义查询。

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2012-01-01 DOI: 10.1145/2396761.2398715

Shuai Zheng, Fusheng Wang, James Lu, Joel Saltz

{"title":"Enabling Ontology Based Semantic Queries in Biomedical Database Systems.","authors":"Shuai Zheng, Fusheng Wang, James Lu, Joel Saltz","doi":"10.1145/2396761.2398715","DOIUrl":"10.1145/2396761.2398715","url":null,"abstract":"While current biomedical ontology repositories offer primitive query capabilities, it is difficult or cumbersome to support ontology based semantic queries directly in semantically annotated biomedical databases. The problem may be largely attributed to the mismatch between the models of the ontologies and the databases, and the mismatch between the query interfaces of the two systems. To fully realize semantic query capabilities based on ontologies, we develop a system DBOntoLink to provide unified semantic query interfaces by extending database query languages. With DBOntoLink, semantic queries can be directly and naturally specified as extended functions of the database query languages without any programming needed. DBOntoLink is adaptable to different ontologies through customizations and supports major biomedical ontologies hosted at the NCBO BioPortal. We demonstrate the use of DBOntoLink in a real world biomedical database with semantically annotated medical image annotations.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":" ","pages":"2651-2654"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567445/pdf/nihms-436207.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31325251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

More influence means less work: fast latent dirichlet allocation by influence scheduling 影响越大，工作量越少:利用影响调度实现快速潜狄利克雷分配

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2011-10-24 DOI: 10.1145/2063576.2063944

Mirwaes Wahabzada, K. Kersting, A. Pilz, C. Bauckhage

{"title":"More influence means less work: fast latent dirichlet allocation by influence scheduling","authors":"Mirwaes Wahabzada, K. Kersting, A. Pilz, C. Bauckhage","doi":"10.1145/2063576.2063944","DOIUrl":"https://doi.org/10.1145/2063576.2063944","url":null,"abstract":"There have recently been considerable advances in fast inference for (online) latent Dirichlet allocation (LDA). While it is widely recognized that the scheduling of documents in stochastic optimization and in turn in LDA may have significant consequences, this issue remains largely unexplored. Instead, practitioners schedule documents essentially uniformly at random, due perhaps to ease of implementation, and to the lack of clear guidelines on scheduling the documents.\u0000 In this work, we address this issue and propose to schedule documents for an update that exert a disproportionately large influence on the topics of the corpus before less influential ones. More precisely, we justify to sample documents randomly biased towards those ones with higher norms to form mini-batches. On several real-world datasets, including 3M articles from Wikipedia and 8M from PubMed, we demonstrate that the resulting influence scheduled LDA can handily analyze massive document collections and find topic models as good or better than those found with online LDA, often at a fraction of time.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":"27 1","pages":"2273-2276"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74125151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Examining the "leftness" property of Wikipedia categories 检查维基百科分类的“左性”属性

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2011-10-24 DOI: 10.1145/2063576.2063953

Karl Gyllstrom, Marie-Francine Moens

引用次数: 4

Large-scale behavioral targeting with a social twist 具有社会扭曲的大规模行为目标

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2011-10-24 DOI: 10.1145/2063576.2063838

Kun Liu, Lei Tang

{"title":"Large-scale behavioral targeting with a social twist","authors":"Kun Liu, Lei Tang","doi":"10.1145/2063576.2063838","DOIUrl":"https://doi.org/10.1145/2063576.2063838","url":null,"abstract":"Behavioral targeting (BT) is a widely used technique for online advertising. It leverages information collected on an individual's web-browsing behavior, such as page views, search queries and ad clicks, to select the ads most relevant to user to display. With the proliferation of social networks, it is possible to relate the behavior of individuals and their social connections. Although the similarity among connected individuals are well established (i.e., homophily), it is still not clear whether and how we can leverage the activities of one's friends for behavioral targeting; whether forecasts derived from such social information are more accurate than standard behavioral targeting models. In this paper, we strive to answer these questions by evaluating the predictive power of social data across 60 consumer domains on a large online network of over 180 million users in a period of two and a half months. To our best knowledge, this is the most comprehensive study of social data in the context of behavioral targeting on such an unprecedented scale. Our analysis offers interesting insights into the value of social data for developing the next generation of targeting services.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":"1 1","pages":"1815-1824"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73271046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

A pretopological framework for the automatic construction of lexical-semantic structures from texts 一种用于文本词汇语义结构自动构建的预拓扑框架

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2011-10-24 DOI: 10.1145/2063576.2063990

G. Cleuziou, D. Buscaldi, Vincent Levorato, G. Dias

{"title":"A pretopological framework for the automatic construction of lexical-semantic structures from texts","authors":"G. Cleuziou, D. Buscaldi, Vincent Levorato, G. Dias","doi":"10.1145/2063576.2063990","DOIUrl":"https://doi.org/10.1145/2063576.2063990","url":null,"abstract":"We present in this paper a new approach for the automatic generation of lexical structures from texts. This tedious task is based on the strong hypothesis that simple statistical observations on textual usages can provide pieces of semantics about the lexicon. Using such \"naive\" observations only, we propose a (pre)-topological framework to formalize and combine various hypothesis on textual data usages and then to derive a structure similar to usual lexical knowledge basis such as WordNet. In addition we also consider the evaluation problem for obtained lexical structures ; a multi-level evaluation strategy is proposed that measures the fitting between a given reference structure and automatically generated structures on different point of views : intrinsic/structural and application-based points of view. The evaluation strategy is then used to quantify the contribution of the new structuring approach with respect to the corresponding solution proposed by (Sanderson et al. 2000) on two case studies that differs on the domain and the size of the lexicon.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":"19 1","pages":"2453-2456"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75321984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond 统计信息检索模型:从概率排序原则到多样性、投资组合理论等方面的最新进展

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management Pub Date : 2011-10-24 DOI: 10.1145/2063576.2064033

Jun Wang, Kevyn Collins-Thompson

{"title":"Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond","authors":"Jun Wang, Kevyn Collins-Thompson","doi":"10.1145/2063576.2064033","DOIUrl":"https://doi.org/10.1145/2063576.2064033","url":null,"abstract":"Statistical modelling of Information Retrieval (IR) systems is a key driving force in the development of the IR field. The goal of this tutorial is to provide a comprehensive and up-to-date introduction to statistical IR modelling. We take a fresh and systematic perspective from the viewpoint of portfolio theory of IR and risk management. A unified treatment and new insights will be given to reflect the recent developments of considering the ranked retrieval results as a whole. Recent research progress in diversification, risk management, and portfolio theory will be covered, in addition to classic methods such as Maron and Kuhns' Probabilistic Indexing, Robertson-Sparck Jones model (and the resulting BM25 formula) and language modelling approaches. The tutorial also reviews the resulting practical algorithms of risk-aware query expansion, diverse ranking, IR metric optimization as well as their performance evaluations. Practical IR applications such as web search, multimedia retrieval, and collaborative filtering are also introduced, as well as discussion of new opportunities for future research and applications that intersect among information retrieval, knowledge management, and databases.","PeriodicalId":74507,"journal":{"name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","volume":"13 29 1","pages":"2603-2604"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78662160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0