This work investigates summarizing the conversations that occur in the comments section of the UK newspaper the Guardian. In the comment summarization task comments are clustered and ranked within the cluster. The top comments from each cluster are used to give an overview of that cluster. It was found that topic model clustering gave the most agreement when evaluated against a human gold stand...

Library developers often have to deal with client compatibility issues across versions of a library that are identical in their API specification. The reason for this can often be traced to some unspecified assumptions made by the client about the behaviour of exported library functions. Earlier work in this direction includes [4] . One could partially address this problem by analyzing the data...

Summarizing threads of email is different from summarizing other types of written communication as it has an inherent dialog structure. We present initial research which shows that sentence extraction techniques can work for email threads as well, but profit from email-specific features. In addition, the presentation of the summary should take into account the dialogic structure of email commun...

This paper describes a query-based multi-document summarizer that was built to participate in the update summarization task of TAC10. The system relies on a thesaurus extracted from Wikipedia and uses it as its underlying ontology. The concepts which are detected within the documents are used as weighted features to score the document sentences. The relationships previously defined in the thesa...

In generating textual summaries of data, the content determination problem is even more complicated when summarizing time-varying data, such as in weather or stockmarket report generation. As well as the maximum, minimum and mean, what is of interest is the behaviour of the variable over time; e.g. dramatic changes, trends and degree of variability in the data. For example, in the graph of temp...

Fundamental building blocks for managing and understanding software evolution in the context of model-driven engineering are differencing operators one can use for model comparisons. Semantic model differencing deals with the definition and computation of semantic diff operators for model comparison, operators whose input consists of two models and whose output is a set of diff witnesses, insta...