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- 23 creator jannik-stroetgen.
- 23 creator michael-gertz.
- 23 creator omar-alonso.
- 23 type InProceedings.
- 23 label "Identification of Top Relevant Temporal Expressions in Documents".
- 23 sameAs 23.
- 23 abstract "Temporal information is very common in textual documents, and thus, identifying, normalizing, and organizing temporal expressions is an important task in IR. Although there are some tools for temporal tagging, there is a lack in research focusing on the relevance of temporal expressions. Besides counting their frequency and verifying whether they satisfy a temporal search query, temporal expressions are often considered in isolation only. There are no methods to calculate the relevance of temporal expressions, neither in general nor with respect to a query. In this paper, we present an approach to identify top relevant temporal expressions in documents using expression-, document-, corpus-, and query-based features. We present two relevance functions: one to calculate relevance scores for temporal expressions in general, and one with respect to a search query, which consists of a textual part, a temporal part, or both. Using two evaluation scenarios, we demonstrate the effectiveness of our approach.".
- 23 hasAuthorList authorList.
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- 23 keyword "ranking".
- 23 keyword "relevance scoring".
- 23 keyword "snippets".
- 23 keyword "temporal expressions".
- 23 keyword "temporal information".
- 23 title "Identification of Top Relevant Temporal Expressions in Documents".
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- 28 creator geerajit-rattanaritnont.
- 28 creator masaru-kitsuregawa.
- 28 creator masashi-toyoda.
- 28 type InProceedings.
- 28 label "Analyzing Patterns of Information Cascades based on Users' Influence and Posting Behaviors".
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- 28 abstract "Nowadays people can share useful information on social networking sites such as Facebook and Twitter. The information is spread over the networks when it is forwarded or copied repeatedly from friends to friends. This phenomenon is so called "information cascade", and has been studied long time since it sometimes has an impact on the real world. Various social activities tends to have different ways of cascade on the social networks. Our focus in this study is on characterizing the cascade patterns according to users' influence and posting behaviors in various topics. The cascade patterns could be useful for various organizations to consider the strategy of public relations activities. We explore four measures which are cascade ratio, tweet ratio, time of tweet, and exposure curve. Our results show that hashtags in different topics have different cascade patterns in term of these measures. However, some hashtags even in the same topic have different cascade patterns. We discover that such kind of hidden relationship between topics can be surprisingly revealed by using only our four measures rather than considering tweet contents. Finally, our results also show that cascade ratio and time of tweet are the most effective measures to distinguish cascade patterns in different topics.".
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- 28 keyword "Information cascade".
- 28 keyword "Information diffusion".
- 28 keyword "Microblog".
- 28 keyword "Social network".
- 28 keyword "Twitter".
- 28 title "Analyzing Patterns of Information Cascades based on Users' Influence and Posting Behaviors".
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- 29 creator keishi-tajima.