We come into contact with animated or virtual humans more often than we think: in movies or computer games for example. The motions which these characters perform appear realistic to us and are often the result of a combination of motions that have been recorded from “real” humans (Motion Capture) and animations that have been carefully designed by experienced professionals. This process is bot...

A writer’s style depends not just on personal traits but also on her intent and mental state. In this paper, we show how variants of the same writing task can lead to measurable differences in writing style. We present a case study based on the story cloze task (Mostafazadeh et al., 2016a), where annotators were assigned similar writing tasks with different constraints: (1) writing an entire st...

Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user feedback. More recent work has investigated data-driven techniques for controlling linguistic style without overgeneration, by reproducing variation dimensions extracted from corpora. Another line of work has produced ha...

Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocab...

This paper deals with the sub-task of PAN 2017 Author Identification, which is to detect style breaches for unknown number of authors within a single document in English. The presented model is an unsupervised approach that will detect style breaches and mark text boundaries on the basis of different stylistic features. This model will use some classical stylistic features like POS analysis and...