Youmna Hussein Farag

Happy to share our paper accepted by #EMNLP2024!🎉 We introduce a framework for dialogue constructiveness assessment, to train interpretable LLM feature-based models that outcompete (or on par with) neural models and standard feature-based models, with better robustness. 🧵1/9

Thrilled to share my 1st PhD preprint 🥳. We uncovered a few surprises about alternative splicing and common diseases and found an unexpected role of splice junctions used in a minority of transcripts! 🧵 and preprint👇 (1/15) biorxiv.org/content/10.110…

It's great to see our colleagues @vlachos_nlp and Youmna Farag involved in this @EPSRC project on @OpeningUpMinds : Engaging Dialogue Generated from Argument Maps' with @OUComputing @sheffielduni and the Cambridge Lab of Toshiba Research Europe.

Fantastic to have @shakir_za give such an awesome overview of the exciting opportunities for using #MachineLearning to tackle #environmental challenges. Great start to @AI4ER_CDT! Thank you!

Check out our paper, with @HYannakoudakis: “Multi-Task Learning for Coherence Modeling” at #ACL2019!! aclweb.org/anthology/P19-… #nlp #cambridge #coherence #mtl #ml #acl2019nlp #florence

Multi-Task Learning for Coherence Modeling, #acl2019nlp paper by @YoumnaH and @HYannakoudakis. #NLProc #MTL #coherence aclweb.org/anthology/P19-…

Our paper with @YoumnaH on “Multi-task learning for coherence modelling” was accepted at @ACL2019_Italy. Preprint to follow soon!

#NAACL2018 paper "Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input" by Youmna Farag, @HYannakoudakis and Ted Briscoe. Neural essay scoring model, able to detect incoherent input. #nlproc arxiv.org/abs/1804.06898

Deep learning: artificial intelligence meets human intelligence. A very interesting talk by… instagram.com/p/BTmhtEJlx7J/

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@alihelmy ok