purpose: the present study seeks to explore the effects of general language proficiency, text readability, and medical knowledge on comprehending medical texts. material & method: 63 medical students in the second year of their study were randomly selected from the english language classes. they answered 100 multiple-choice questions on grammar and vocabulary to establish the level of language ...

This paper presents computational work to detect satire/sarcasm in long commentaries on Italian politics. It uses the lexica extracted from the manual annotation based on Appraisal Theory, of some 30K word texts. The underlying hypothesis is that using this framework it is possible to precisely pinpoint ironic content through the deep semantic analysis of evaluative judgement and appreciation. ...

This paper gives a summary of the content-based Image Retrieval and Content-based Audio Retrieval, which are two parts of the Content-based Retrieval. Content-based Retrieval is the retrieval based on the features of the content. Generally, it is a way to extract features of the media data and find other data with the similar features from the database automatically. Content-based Retrieval can...

Discourse markers foreshadow the message thrust of texts and saliently guide their rhetorical structure which are important for content filtering and text abstraction. This paper reports on efforts to automatically identify and classify discourse markers in Chinese texts using heuristic-based and corpus-based data-mining methods, as an integral part of automatic text summarization via rhetorica...

Interoperability is a crucial issue, as large scale applications mainly depend on the possibility of mapping and connecting different models and structures. In the context of public services organization, achieving interoperability among public sector information means, on the one hand (back office), enabling dialogue among public offices, sharing data, standardising structures and models, conn...