Recent research finds that inferences from candidate faces predict aggregate vote margins. Many have concluded this to mean that voters choose the candidate with the better face. We implement a survey with participant evaluations of over 167,000 candidate face pairings. Through regression analysis using individualand district-level vote data we find that the face-vote correlation is explained b...

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We investigate the notion of temporal diversity, bringing together two recently active threads of research, namely temporal ranking and diversification of search results. A novel method is developed to determine search results consisting of documents that are relevant to the query and were published at diverse times of interest to the query. Preliminary experiments on twenty years’ worth of new...

Our task is as follows. Assume that we have a corpus, which is a set of sentences in some language. For example, we might have several years of text from the New York Times, or we might have a very large amount of text from the web. Given this corpus, we’d like to estimate the parameters of a language model. A language model is defined as follows. First, assume that the set of all words in the ...

In the current fast-paced world, people tend to possess limited knowledge about things from the past. For example, some young users may not know that Walkman played similar function as iPod does nowadays. In this paper, we approach the temporal correspondence problem in which, given an input term (e.g., iPod) and the target time (e.g. 1980s), the task is to find the counterpart of the query tha...

Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a novel combination of statistical topic models and named-entity recognizers to jointly analyze entities mentioned (persons, organizations and places) and topics discussed in a collection of 330,000 New York Times news...

time no longer exists as an objective physical reality. “When even the gravitational field—geometry i n c a r n a t e — becomes a noncommuting (and hence nonlinear) operator, how can the classical interpretation of Gμν as a geometric entity be sustained? Now not only the observer, but the very concept of geometry, becomes relational and contextual.” The article might have passed unnoticed in th...

Twitter is a popular microblogging site that is a good source of real-time information. Detecting events in Twitter is an ongoing research effort and a fundamental task is clustering tweets according to which (news) event they describe. Document expansion can improve this clustering, especially for Twitter, given that tweets are short. While document expansion using external corpora has been ar...

Online news has become increasingly prevalent as it helps the public access timely information conveniently. Meanwhile, the rapid proliferation of Web 2.0 applications has enabled the public to freely express opinions and comments over news (user-generated content, or UGC for short), making the current Web a highly interactive platform. Generally, a particular event often brings forth two corre...

Getting an overview of a historic entity or event can be difficult in search results, especially if important dates concerning the entity or event are not known beforehand. For such information needs, users benefit if returned results covered diverse dates, thus giving an overview of what has happened throughout history. Such a method can be a building block for applications, for instance, in d...