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 which uses language specific linguistic processing to generate features. We also report on experiments in which we use machine translation to accommodate for languages in which there is less training data. Native language results are successful, but socio-demographic signals in language seem to be lost under MT conditions.
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XRCE Personal Language Analytics Engine for Multilingual Author Profiling Notebook for PAN at CLEF 2015
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| Caroline Brun, Shachar Mirkin, Scott Nowson, Julien Perez, Claude Roux |
| CLEF 2015 Conference and Labs of the Evaluation Forum, 8-11 September, Toulouse, France |
VISION
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios.
Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning. Our driving goal is to use our research to deliver embodied intelligence to our users in robotics, autonomous driving, via phone cameras and any other visual means to reach people wherever they may be.
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