PhD-Approche frugale Sémantique Formelle pour comprendre des conversations
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about the role
Your role is to conduct a PhD thesis on: "Approach in Formal Semantics for Conversation Understanding."
Global Context and Problematic of the Subject
In NLP, there is a representation of the meaning of sentences in the form of a graph (Abstract Meaning Representation, AMR) that allows for the handling of various application tasks using small language models (< 1B, such as FlanT5 with between 256M and 1.2B parameters). For dialogue, this representation is not yet utilized, except for robot commands.
Scientific Objective – Results and Challenges to Overcome
By illustrating the connection with the global context and the problematic, the thesis aims to directly describe what it addresses: "The objective of the thesis is to..."
The objective of the thesis is to adapt generic approaches of formal semantic analysis to conversation understanding. In addition to not requiring specific training for each application, their advantage is their low computational resource requirements.
The main challenges to overcome (scientific or technical) are:
- Understanding the sequence of exchanges (dialogues)
- Managing turn-taking
- Resolving coreferences
Among the recommended approaches to overcome these challenges are:
- Using formal semantics in the form of directed graphs
- Machine Learning / Deep Learning
- Manipulating semantic graphs
Finally, the main expected outcomes (besides publications and manuscript writing) are:
- Trained language models and tools for dialogue
- Evaluation corpus
- Evaluation
about you
We are looking for a person who is interested in language, its structures, and its ambiguities:
Required Skills (scientific and technical) and Personal Qualities for the Position
- Knowledge in linguistics, particularly formal semantics
- Understanding of graph theory
- Experience with deep learning and language models
- Development tools:
- Python, Pytorch
- Linux
- LaTeX
Required Education
- completed Master in NLP/Computational Linguistics/Computer Science
Desired Experience
- Internships involving linguistic data and language structures