Andrea Ceroni

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Accuracy of protein secondary structure predictors has been slowly growing during the last decade. Although it is clear that a relatively large fraction of current errors is due to long-range interactions, current predictors are not able to exploit such information. We present a solution based on a generalized bidirectional neural network that learns from(More)
Fully understanding an older news article requires context knowledge from the time of article creation. Finding information about such context is a tedious and time-consuming task, which distracts the reader. Simple contextualization via Wikification is not sufficient here. The retrieved context information has to be time-aware, concise (not full Wikipages)(More)
When selecting important photos from a personal photo collection - e.g. for creating an enjoyable sub-collection for revisiting or preservation - photos are not considered in isolation. Therefore, collection-level criteria are also taken into account by automated photo selection methods. However, the typical two-step process of first clustering and(More)
Understanding a text, which was written some time ago, can be compared to translating a text from another language. Complete interpretation requires a mapping, in this case, a kind of time-travel translation between present context knowledge and context knowledge at time of text creation. In this paper, we study time-aware re-contextualization, the(More)
The Web of data is constantly evolving based on the dynamics of its content. Current Web search engine technologies consider static collections and do not factor in explicitly or implicitly available temporal information, that can be leveraged to gain insights into the dynamics of the data. In this paper, we hypothesize that by employing the temporal aspect(More)
Manually inspecting text in a document collection to assess whether an event occurs in it is a cumbersome task. Although a manual inspection can allow one to identify and discard false events, it becomes infeasible with increasing numbers of automatically detected events. In this paper, we present a system to automatize event validation, defined as the task(More)
Fully understanding an older news article requires context knowledge from the time of article creation. Finding information about such context is a tedious and time-consuming task, which distracts the reader. Simple contextualization via Wikification is not sufficient here. The retrieved context information has to be time-aware, concise (not full Wiki(More)