Microblogging platforms such as Twitter have been increasingly used nowadays to share
information between users. They are also convenient means for propagating content related …

Temporal information retrieval exploits temporal features of document collections and
queries. Temporal document priors are used to adjust the score of a document based on its …

We present an approach to query modeling that leverages the temporal distribution of
documents in an initially retrieved set of documents. In news-related document collections …

Comparative historical research on the the intensity, diversity and fluidity of public
discourses has been severely hampered by the extraordinary task of manually gathering …

The study and analysis of past events can provide numerous benefits. While event
categorization has been previously studied, it usually assigned only one event category to …

The importance of studying history and applying this knowledge is widely recognized. In this
study, we propose a search algorithm to promote historical analogy by immediately …

Recent increases in digitization and archiving efforts on news data have led to
overwhelming amounts of online information for general users, thus making it difficult for …

The ever growing number of textual historical collections calls for methods that can
meaningfully connect and explore these. Different collections offer different perspectives …

We address the problem of entity-oriented search in the humanities and social sciences
domain. We are particularly interested in retrieving entities related to a query entity and …

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