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Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation 基于时序引文推荐的动态主题/引文影响建模
Web-KR '14 Pub Date : 2014-11-03 DOI: 10.1145/2663792.2663795
Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao
{"title":"Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation","authors":"Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao","doi":"10.1145/2663792.2663795","DOIUrl":"https://doi.org/10.1145/2663792.2663795","url":null,"abstract":"With the development of academic research, the number of scientific papers has risen sharply, there is an urgent need to assist researchers in locating the candidate cited papers they are looking for. Classical relation-based and text-based approaches ignore the chronological nature of the citation recommendation task. In this study, we propose an innovative dynamic topic/citation influence model (DTCIM), which assumes user initial information need could shift while they are looking for the papers in different time slices. Specifically, we integrate text search and citation link navigation in a chronological dynamic topic model environment. Unlike previous studies, the new model characterizes user topical information need shifting and intrinsic citation time-decay. We apply this model for chronological citation recommendation, which can recommend time-series ranking lists based on users' initial textual information needs. Our experiment on the ACM sequential corpus shows that DTCIM is an effective model for chronological citation recommendation, comparing with classic models and algorithms.","PeriodicalId":289794,"journal":{"name":"Web-KR '14","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132414279","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: 11
Repairing Inconsistent Taxonomies Using MAP Inference and Rules of Thumb 使用MAP推理和经验法则修复不一致的分类法
Web-KR '14 Pub Date : 2014-11-03 DOI: 10.1145/2663792.2663804
Elie Merhej, S. Schockaert, M. D. Cock, M. Blondeel, Daniele Alfarone, Jesse Davis
{"title":"Repairing Inconsistent Taxonomies Using MAP Inference and Rules of Thumb","authors":"Elie Merhej, S. Schockaert, M. D. Cock, M. Blondeel, Daniele Alfarone, Jesse Davis","doi":"10.1145/2663792.2663804","DOIUrl":"https://doi.org/10.1145/2663792.2663804","url":null,"abstract":"Several authors have developed relation extraction methods for automatically learning or refining taxonomies from large text corpora such as the Web. However, without appropriate post-processing, such taxonomies are often inconsistent (e.g. they contain cycles). A standard approach to repairing such inconsistencies is to identify a minimally consistent subset of the extracted facts. For example, we could aim to minimize the sum of the confidence weights of the facts that are removed for restoring consistency. In this paper, we present MAP inference as a base method for this approach, and analyze how it can be improved by taking into account dependencies between the extracted facts. These dependencies correspond to rules of thumb such as \"if a given fact is wrong then all facts that have been extracted from the same sentence are also likely to be wrong\", which we encode in Markov logic. We present experimental results to demonstrate the potential of this idea.","PeriodicalId":289794,"journal":{"name":"Web-KR '14","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121919483","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: 4
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