We are looking to fill a traineeship position in the field of 'Multilingual 
Entity-centric Event Extraction'.

If you are interested, please follow the instructions provided at the URLlisted 
below. Please do not send your applications by email. They will not be valid.


URL of call:       http://recruitment.jrc.ec.europa.eu/
Call number:     2018-IPR-I-000-010098
Title of call:       Multilingual Entity-centric Event Extraction
Deadline:          29 June 2018 | 11:59 pm (Brussels time)
Starting date:    as soon as possible
Duration:           5 months
JRC Site:          Ispra
Country:           Italy


Who we are: 
As the science and knowledge service of the Commission, the mission of Joint 
Research Centre is to support EU policies with independent evidence throughout 
the whole policy cycle.
The JRC’s Europe Media Monitor (EMM) team carries out research and development 
in the field of highly multilingual text mining (Language Technology; 
Computational Linguistics) for the purposes of media monitoring. EMM gathers an 
average of 300,000 on-line news articles per day in over 70 languages and 
analyses them to help its large international user community understand and use 
this enormous amount of media information. The Europe Media Monitor EMM is 
publicly accessible and widely used. The EMM team has produced over 200 
international peer-reviewed publications. The team has also produced and 
distributes a number of highly multilingual Language Technology resources.

Short description of activity:
The Text and Data Mining Unit (I3) of the European Commission’s Joint Research 
Centre (JRC) in Ispra, Italy, is looking for a trainee to support the JRC’s 
Europe Media Monitor (EMM) team in its effort to develop a general-purpose 
application that is able to scan large text collections of various types in 
order to compute time-ordered series of open-domain events involving a target 
entity such as persons or organisations. More precisely, the task focuses on:
    (a) identification of all occurrences of a target entity in text 
collections (e.g., on-line news, search engine results, social media), 
including named mentions and mentions of entities that embrace the target entity
    (b) identification of event triggers (relevant verb and noun phrases) 
involving the target entity        (c) classification and labelling at various 
levels of abstraction of the detected events
    (d) assignment of time references to the events the target entity 
participated in, and 
    (e) provision of intelligent filtering tools and visualisation of the event 
time series. 
As of now, a prototype of such entity-centric event extraction tool for 
processing text collections in English has been built, while the future work 
will embrace extensions to: cover more languages, improve the overall accuracy, 
cover new sources of information, merge information across documents and 
languages, etc. In particular, Open Information Extraction and Knowledge 
Harvesting techniques are used to tackle multi-linguality and scalability, 
these ones being the two most important design criteria in this context.The EMM 
team develops various applications for gathering, aggregating and analysing 
information from a wide range of sources, including for instance on-line news 
(NewsBrief, MediSys), search engine results (OSINT Suite) and social media. 
Methods used are mostly hybrid: machine learning tools are used to gather 
evidence, learn vocabulary and patterns, but the results are usually controlled 
and optimised through human intervention. EMM applications are used by European 
Institutions, by national authorities in EU Member States, by international 
organisations and by the public. EMM is part of the JRC’s Competence Centre on 
Text Mining and Analysis 
(https://ec.europa.eu/jrc/en/text-mining-and-analysis).The successful trainee 
will contribute to the further development of the entity-centric event 
extraction tool which will encompass adapting the tool to process new languages 
(acquisition of language-specific resources) and/or improving the existing ones 
and devising new methods for open information extraction. The trainee is also 
expected to contribute to writing a scientific publication on the work carried 
out.

Qualifications:
Essential:
.        University degree in Computational/Formal Linguistics, Computer 
Science or related areas;
.        Java programming skills;
.        knowledge of Machine Learning;
.        good working knowledge of English (B2 level).

Advantage:
.        Knowledge of further foreign languages; 
.        the proven advanced programming skills, especially in Java;
.        good knowledge of Language Technology-related tools and methods, in 
particular in the area of Information Extraction;
.        The proven ability to work independently and as part of a team.

In your application, please provide clear information on your skill set, by 
elaborating on the above-mentioned list of requirements and by listing your 
level of languages and your computer / programming skills.

For general eligibility requirements, please read the rules governing the 
traineeship scheme of the 
JRC:https://ec.europa.eu/jrc/en/working-with-us/jobs/temporary-positions/jrc-trainees




Vanni ZavarellaEuropean Commission - Joint Research Centre (JRC)21027 Ispra 
(VA), Italy
URL - Applications:  <http://emm.newsbrief.eu/overview.html>URL - Resources: 
https://ec.europa.eu/jrc/en/language-technologies   
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