[Corpora-List] post-doctoral position at LIMSI (Orsay, France)
Gilles Adda
gadda at limsi.fr
Fri Aug 31 14:24:08 UTC 2012
Post-doc position at LIMSI-CNRS in the Spoken Language Processing group
A post-doc position will be proposed at LIMSI-CNRS, in the context of
the ANR-funded CHIST-ERA CAMOMILE Project (Collaborative Annotation of
multi-MOdal, MultI-Lingual and multi-mEdia documents).
Description
Human activity is constantly generating large volumes of heterogeneous
data, in particular via the Web. These data can be collected and
explored to gain new insights in social sciences, linguistics,
economics, behavioural studies as well as artificial intelligence and
computer sciences.
In this regard, 3M (multimodal, multimedia, multilingual) data could be
seen as a paradigm of sharing an object of study, human data, between
many scientific domains. But, to be really useful, these data should be
annotated, and available in very large amounts. Annotated data is useful
for computer sciences which process human data with statistical-based
machine learning methods, but also for social sciences which are more
and more using the large corpora available to support new insights, in a
way which was not imaginable few years ago. However, annotating data is
costly as it involves a large amount of manual work, and in this regard
3M data, for which we need to annotate different modalities with
different levels of abstraction is especially costly. Current annotation
framework involves some local manual annotation, with the help sometimes
of some automatic tools (mainly pre-segmentation).
The project aims at developing a first prototype of collaborative
annotation framework on 3M data, in which the manual annotation will be
done remotely on many sites, while the final annotation will be
localized on the main site. Furthermore, with the same principle, some
systems devoted to automatic processing of the modalities (speech,
vision) present in the multimedia data will help the transcription, by
producing automatic annotations. These automatic annotations are done
remotely in each expertise point, which will be then combined locally to
produce a meaningful help to the annotators.
In order to develop this new annotation concept, we will test it on a
practical case study: the problem of person annotation (who is
speaking?, who is seen?) in video, which needs collaboration of high
level automatic systems dealing with different media (video, speech,
audio tracks, OCR, ...). The quality of the annotated data will be
evaluated through the task of person retrieval.
This new way to envision the annotation process, should lead to some
methodologies, tools, instruments and data that are useful for the whole
scientific community who have interest in 3M annotated data.
Skills
A PhD in a field related to the project is required.
Contacts
* Claude Barras (Claude.Barras at limsi.fr)
* Gilles Adda (Gilles.Adda at limsi.fr)
Agenda
* Starting date: Fall 2012
* Duration of the project: 36 months
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