We take part in the short text conversation task at NTCIR-12. We employ a semantic-based retrieval method to tackle this problem, by calculating textual similarity between posts and comments. Our method applies a rich-feature model to match post-comment pairs, by using semantic, grammar, n-gram and string features to extract high-level semantic meanings of text.

When automatic plagiarism detection is carried out considering a reference corpus, a suspicious text is compared to a set of original documents in order to relate the plagiarised text fragments to their potential source. One of the biggest difficulties in this task is to locate plagiarised fragments that have been modified (by rewording, insertion or deletion, for example) from the source text....

In this paper, we suggest a list of high-level features and study their applicability in detection of cyberpedophiles. We used a corpus of chats downloaded from www.perverted-justice.com and two negative datasets of different nature: cybersex logs available online and the NPS chat corpus. The SVM classification results show that the NPS data and the pedophiles’ conversations can be accurately d...

Olney and Farber present their work with N-methyl-D-aspartate (NMDA) antagonists, which are psychotogens, and propose that the structural changes described by Bogerts could be accounted for by a two-stage process. The first stage of the process would occur early in life and would culminate in the selective loss of NMDA-receptor bearing gamma-aminobutyric acid (GABA)ergic neurons and thus render...