We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two methods for novelty detection one based solely on the similarity information and one also utilizing genre label information are evaluated within the context of genre classification based on spectral similarity. Both are...

Radiology reports, as a form of clinical narrative, are more than a repository of patient information but are active in patient care. They are not unique and individual to each patient but have structured content suitable for supporting the activities of care. We consider these activities of care and how they manifest in the report. This recognition of the infusion of clinical organisation in c...

Genre classification means to discriminate between documents by means of their form, their style, or their targeted audience. Put another way, genre classification is orthogonal to a classification based on the documents’ contents. While most of the existing investigations of an automated genre classification are based on news articles corpora, the idea here is applied to arbitrary Web pages. W...

Situation entities (SEs) are the events, states, generic statements, and embedded facts and propositions introduced to a discourse by clauses of text. We report on the first datadriven models for labeling clauses according to the type of SE they introduce. SE classification is important for discourse mode identification and for tracking the temporal progression of a discourse. We show that (a) ...

Current web technology has brought us a scenario that information about a certain topic is widely dispersed in data from different domains and data modalities, such as texts and images from news and social media. Automatic extraction of the most informative and important multimedia summary (e.g. a ranked list of inter-connected texts and images) from massive amounts of cross-media and cross-gen...

Abstract Genre recognition is a critical facet of text comprehension and text classification. In three experiments, we assessed the minimum number of words in a sentence needed for genre recognition to occur, the distribution of genres across text, and the relationship between reading ability and genre recognition. We also propose and demonstrate a computational model for genre recognition. Usi...

This paper examines automated genre classification of text documents and its role in enabling the effective management of digital documents by digital libraries and other repositories. Genre classification, which narrows down the possible structure of a document, is a valuable step in realising the general automatic extraction of semantic metadata essential to the efficient management and use o...

The digital version of the newspaper broadsheet is the basis of an evolving genre capable of supporting more than just the presentation of electronic news. The phrase, “broadsheet genre”, refers to both the broadsheet form and the characteristics of the content presented in this form. When the content is electronic news, it is not unlike a print newspaper supplemented with video and radio compo...