This technical notebook describes the methodology used – and results achieved – for the PAN 2015 Author Profiling Challenge by the team from Xerox Research Centre Europe (XRCE). This year, personality traits are introduced alongside age and gender in a corpus of tweets in four languages – English, Spanish, Italian and Dutch. We describe a largely language agnostic methodology for classification...

Many methods have been used to recognise author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regression or Support Vector Machines. This work uses deep-learning-based models and atomic features of text, the characters, to build hierarchical, vectorial word and sentence representations for trait inference. This method,...

Many methods have been used to recognise author personality traits from text, typically combining linguistic feature engineering with shallow learning models, e.g. linear regression or Support Vector Machines. This work uses deep-learningbased models and atomic features of text – the characters – to build hierarchical, vectorial word and sentence representations for trait inference. This method...

The current paper sums up the results of dissertation research conducted by author at Moscow Region State University which was supervised Professor Ye. A. Sorokina, Doctor Philology. relevance chosen topic is determined anthropocentrism modern linguistics manifests itself in progressive development personology, including linguistic personology and political as one emerging scientific discipline...

In the last decades the explosion of ICT has opened up new avenues regarding peoples’ accessibility to new job opportunities. Current technological advances in conjunction with people’s online presence provide a great opportunity to automate the recruitment process and make it more effective. In this paper, we propose a novel approach for improving the efficiency of erecruitment systems. Our ap...

We describe our experience in developing a discourse-annotated corpus for community-wide use. Working in the framework of Rhetorical Structure Theory, we were able to create a large annotated resource with very high consistency, using a well-defined methodology and protocol. This resource is made publicly available through the Linguistic Data Consortium to enable researchers to develop empirica...

This section considers the actual performance in poverty reduction of selected LDCs for which information is available in order to get an idea of which circumstances promote success and which do not. The analysis has to be carried out in a situation of extreme data constraint, especially for the SSA which has the largest concentration of LDCs. In view of the very different nature and extent of ...

In this paper, we define the concept of uncertain multiplicative linguistic preference relation, and introduce some operational laws of uncertain multiplicative linguistic variables. We propose some new aggregation operators including the uncertain linguistic geometric mean (ULGM) operator, uncertain linguistic weighted geometric mean (ULWGM) operator, uncertain linguistic ordered weighted geom...

Lexical representation so far has not been extensively investigated in regard to language acquisition. Existing computational linguistic systems assume that text analysis and generation take place in conditions of complete lexical knowledge. That is, no unknown elements are encountered in processing text. It turns out however, that productive as well as non-productive word combinations require ...