The Author Identification task for PAN 2016 consisted of three different Sub-tasks: authorship clustering, authorship links and author diarization. We developed a machine learning approaches for two of three of these tasks. For the two authorship related tasks we created various sets of feature spaces. The challenge was to combine these feature spaces to enable the machine learning algorithms t...

Discussions about authorship often arise in multi-centre clinical trials. Such trials may involve up to hundreds of contributors of whom some will eventually co-author the final publication. It is, however, often impossible to involve all contributors in the manuscript process sufficiently for them to qualify for authorship as defined by the International Committee of Medical Journal Editors. T...

BACKGROUND Over the past two decades, the promotion of collaborative partnerships involving researchers from low and middle income countries with those from high income countries has been a major development in global health research. Ideally, these partnerships would lead to more equitable collaboration including the sharing of research responsibilities and rewards. While collaborative partner...

The purpose of authorship search is to identify documents written by a particular author in large document collections. Standard search engines match documents to queries based on topic, and are not applicable to authorship search. In this paper we propose an approach to authorship search based on information theory. We propose relative entropy of style markers for ranking, inspired by the lang...

âuthorship which is important to the grant support, academic promotion and reputation of the scientists and their institution should be determined by how genuinely they contribute to each article. the ïnternational çommittee of medical journal ëditors (ïçmjë) has recommended that authorship credit should be based on substantial contributions to conception and design, acquisition of data, or ana...