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Natural Language Processing for Automated Fact Verification


Theodor Baur

10/05/2024

Supervised by Nedjma Ousidhoum; Moderated by Nathan Jones

Natural Language Processing is part of multiple automated fact-checking systems and related tasks such as rumour detection. It can be helpful at different steps in the verification process such as when identifying claims, retrieving evidence, etc.

In this work, the student will choose the fact verification sub-task they would like to focus on and study the related literature. They will then implement an NLP or an Information Retrieval (IR) based method for this subtask, analyse their results and share their insights.


Initial Plan (05/02/2024) [Zip Archive]

Final Report (10/05/2024) [Zip Archive]

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