LINGUIST List 25.2004

Tue May 06 2014

Jobs: English; French; Computational Linguistics; Semantics: Post Doc, INRIA

Editor for this issue: Andrew Lamont <>

Date: 05-May-2014
From: Gregory Grefenstette <>
Subject: English; French; Computational Linguistics; Semantics: Post Doc, INRIA, Palaiseau, near Paris, France
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University or Organization: INRIA
Job Location: Palaiseau, near Paris, France
Job Title: Inducing Semantic Dimensions for a Personal Information Platform

Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Semantics

Required Language(s): English (eng)
                            French (fra)


About Inria
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future.

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

The postdoctoral researcher will perform the following work
- Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information (see references below), applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop
- Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR)
- Discover and adapt existing open data taxonomies to the platform
- Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources

Olena Medelyan, Steve Manion, Jeen Broekstra, Anna Divoli, Anna-Lan Huang, and Ian H. Witten (2013): Constructing a Focused Taxonomy from a Document Collection, ESWC 2013
Treeratpituk, Pucktada, Madian Khabsa, and C. Lee Giles. "Graph-based Approach to Automatic Taxonomy Generation (GraBTax)." arXiv preprint arXiv:1307.1718 (2013).
Cimiano, Philipp, and Johanna Völker. "Text2Onto." Natural language processing and information systems. Springer Berlin Heidelberg, 2005. 227-238.

Skills and profile
- PhD must have been obtained in 2013 or 2014
- Experience with natural language processing (e.g., Stanford Parser)
- Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
- Experience with classification algorithms
- Familiarity with dealing with large, noisy data sets
- Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
- Desire to produce functioning end-to-end systems, life-scale live demos
- Scientific rigour
- Imagination

- Duration: 12 months
- Salary: 2.621 euros gross monthly

Additional information
Place of work: Plateau de Saclay

Security and Defense procedure
In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

Application Deadline: 30-Jun-2014

Web Address for Applications:
Contact Information:
Gregory Grefenstette

Page Updated: 06-May-2014