This paper introduces XoWiki Content Flow, which is a simple workflow component based on a state transition system. This workflow component is used as an extension of the XoWiki framework [1, 2], a wiki based environment for content management applications. The primary application focus is on managing state and transitions of content together with an application specific set of attributes. A us...

We consider the problem of tracking information over time and across sources in clusters of news stories about emergency events. While previous approaches have focused on finding new information at the document and sentence levels (e.g. TDT FSD and the TREC Novelty track, respectively), we are interested in following information at the factual level. Specifically, we propose to develop a “fact ...

Opinion Question Answering (Opinion QA), which aims to find the authors’ sentimental opinions on a specific target, is more challenging than traditional factbased question answering problems. To extract the opinion oriented answers, we need to consider both topic relevance and opinion sentiment issues. Current solutions to this problem are mostly ad-hoc combinations of question topic informatio...

Citation for published version (APA): van Rooij, R. (2009). Comparing questions and answers: a bit of logic, a bit of language, and some bits of information. In G. Sommaruga (Ed.), Formal theories of information: From Shannon to semantic information theory and general concepts of information. (pp. 161-192). (Lecture notes in computer science; No. 5363). Berlin: Springer. DOI: 10.1007/978-3-642-...

This chapter will cover some of the background to cognitive behavioural therapy (CBT) principles using the device of common questions and answers. Perhaps one view that needs to be challenged right at the beginning of the text is the invidious belief that CBT is an instrumental approach lacking the degree of human contact and empathy which are often highlighted in other therapeutic approaches. ...

We investigate techniques to support the answering of opinion-based questions. We first present the OpQA corpus of opinion questions and answers. Using the corpus, we compare and contrast the properties of fact and opinion questions and answers. Based on the disparate characteristics of opinion vs. fact answers, we argue that traditional fact-based QA approaches may have difficulty in an MPQA s...

Visual Question Answering (VQA) has received a lot of attention over the past couple of years. A number of deep learning models have been proposed for this task. However, it has been shown [1–4] that these models are heavily driven by superficial correlations in the training data and lack compositionality – the ability to answer questions about unseen compositions of seen concepts. This composi...