Since the proposal of the well-known Apriori algorithm and the subsequent establishment of the area known as Frequent Itemset Mining, most of the scientific contribution of the data mining area have been focused on the study of methods that improve its efficiency and its applicability in new domains. The interest in the extraction of this sort of patterns lies in its expressiveness and syntacti...

Every day, users publish hundreds of millions of microblog postings in popular social-networking platforms such as Twitter and Facebook. When considered in aggregation, microblog postings have been shown to exhibit temporal patterns that reflect events of global significance. In this paper, we propose techniques to identify and quantify spatial patterns: for instance, a hashtag that is popular ...

Linked Data consumers may need explanations for debugging or understanding the reasoning behind producing the data. They may need the possibility to transform long explanations into more understandable short explanations. In this paper, we discuss an approach to explain reasoning over Linked Data. We introduce a vocabulary to describe explanation related metadata and we discuss how publishing t...

As datasets become too large to be comprehended directly, a need for data summarization arises. A data summary can present typical patterns commonly found in a dataset, from which high-level understanding of the data can be obtained. Nonetheless, such abstract understanding can be improved by providing concrete examples of the summary patterns. If possible, the chosen examples should be diverse...

SimSum (Simulation of Summarizing) simulates 20 real-world working steps of expert summarizers. It presents an empirically founded cognitive model of summarizing and demonstrates that human summarization strategies can be simulated. The cognitive model operationalizes the discourse processing model developed by Kintsch and van Dijk (1983). Knowledge engineering followed the KADS approach, empir...

To provide rapid access to meetings between human beings, transcription, tracking, retrieval and summarization of on-going human-to-human conversation has to be achieved. In DARPA and DoD sponsored work (projects GENOA and CLARITY) we aim to develop strategies to transcribe human discourse and provide rapid access to the structure and content of this human exchange. The system consists of four ...

We show that generating English Wikipedia articles can be approached as a multidocument summarization of source documents. We use extractive summarization to coarsely identify salient information and a neural abstractive model to generate the article. For the abstractive model, we introduce a decoder-only architecture that can scalably attend to very long sequences, much longer than typical enc...

Let G̃ be a simple algebraic group which is defined and split over a field K and let L̃ be a corresponding Lie algebra. Further, let R be the corresponding root system. We prove here that if char K = 0 or a very good prime for R and | K |>| R |, then there exists an orbit O ⊂ L = L̃(K) with respect to the adjoint action of G = G̃(K) such that L = O + O. This is an analogue of the corresponding resu...

This paper presents a two-stage approach to summarizing multiple contrastive viewpoints in opinionated text. In the first stage, we use an unsupervised probabilistic approach to model and extract multiple viewpoints in text. We experiment with a variety of lexical and syntactic features, yielding significant performance gains over bag-of-words feature sets. In the second stage, we introduce Com...

Multilingual aspects have been gaining more and more attention in recent years. This trend has been accentuated by the global integration of European states and the vanishing cultural and social boundaries. The ever increasing use of foreign languages is due to the information boom caused by the emergence of easy internet access. Multilingual text processing has become an important field bringi...