Snabbfakta

    • Technopole de Sophia Antipolis

Ansök senast: 2024-06-02

Postdoc on Contextual Information Inference for Argument Mining

Publicerad 2024-04-03

Contexte et atouts du poste

Within the framework of a partnership (you can choose between)

  • not applicable,
  • collaboration between 2 Inria teams: *****,
  • collaboration ({team_Inria} and the start-up *****,
  • project/programme/European fund *****,
  • public with {French National Research Agency (ANR), local and regional authorities, academic partners, *****]
  • value-creation and technology transfer contracts with *****
  • a package/model/prototype/application/interface/infrastructure/other specify *****
    more specifically dedicated to *****.

    Is regular travel foreseen for this post ? “Do not hesitate to make this known and to ensure that "travel expenses are covered within the limits of the scale in force".

    Mission confiée

    n the context of the CIIAM project (Contextual Information Inference for Argument Mining), funded through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence Université Côte d’Azur, aiming to enhance the robustness of argument mining techniques through the synthesis of contextual information relevant to multimodal aspects of communication.

    We invite doctoral candidates nearing completion of their thesis and young PhD graduates to apply for a postdoctoral position on "Improving Argument Mining through the Synthesis of Contextual Information" (12 months).

    Principales activités

    Understanding argumentative structures in natural language inputs is a key step for many tasks in the field of Natural Language Processing (NLP), such as automatic summarization or analysis of political debates. Although significant progress has been made with the advent of pre-trained language models, they do not always grasp all the linguistic knowledge necessary for fine contextual understanding and the establishment of relevant inferences. Faced with these limitations, our project aims to explore the inclusion of linguistic analysis dimension related to pragmatics. This approach is particularly innovative because pragmatics, due to its complexity in formalization, has been scarcely studied from a computational perspective. It is through the use of the latest cutting-edge prompting techniques that we aim to overcome the pitfalls of existing methods, such as cultural variability and implicit knowledge.

    Compétences

    Technical skills and level required :

    Languages :

    Relational skills :

    Other valued appreciated :

    Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Contribution to mutual insurance (subject to conditions)
  • Rémunération

    Gross Salary: 2788 € per month

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