Hello

I am assistant professor at the KAIST Kim Jaechul AI Graduate School. I completed my PhD at the University of Cambridge researching Natural Language Processing. I researched fact verification, supervised by Andreas Vlachos and was funded by an Amazon Alexa Graduate Research Fellowship.

I also co-organise the FEVER workshop:

FEVER: Fact Extraction and VERification

🌟

Prospective students at KAIST:

MS and PhD Students with an interest in Natural Language Processing are welcome to apply to join my lab. More information

Contact Info

GitHub @j6mes
Twitter @j6mes
Email contacts:
- academic: thorne [at] kaist.ac.kr
- other matters: james [at] jamesthorne.com
Office: KAIST Seoul Campus (Hongneung) 9402

Next Big Ideas in NLP

This post is a summary of the "Next Big Ideas" session at ACL: established members of the NLP community formed a panel presenting their view of the future of the field. The session featured a series of talks and a panel from Heng Ji,

Learned Incremental Representations for Parsing: Studying the ACL 2022 Best Paper

This year's ACL 2022 best paper was on the topic of incremental parsing. Parsing is something that's been well studied in the NLP, Computational Linguistics fields before. So why does this year's best paper laud a work on a topic that some might have

Why I stopped using Mendeley as a reference manger

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Cambridge OU12 Module: HPC for deep learning guidebook

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Travelling to Korea and the Quarantine Arrangements

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Adding binding offsets for printing in Latex, the easy way

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Managing environments in Docker for artificial intelligence research

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Comparing the Zachman Framework, TOGAF and MoDAF

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Processing Wikipedia in a few hours on a single PC

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Adding a custom homepage on Ghost

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A fresh start for the blog

How (and why) I went about switching from WordPress to Ghost

Contact Info

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