Shima Asaadi

M.Sc. Shima Asaadi

DoktorandinTechnische Universität Dresdenhttp://www.tu-dresden.deInternational Center for Computational Logichttps://iccl.inf.tu-dresden.de Computational Logic

•   firstname.lastname@tu-dresden.de
•   +49 351 463 43560
•   +49 351 463 32827
•   APB 2036

Since December 2015, I am a doctoral researcher in the Computational Logic Group led by Prof. Sebastian Rudolph at Technische Universität Dresden.

My research interests comprise:

• Natural Language Processing
• Machine Learning
• Automata Theory

• Publikationen
• Lehre

Neueste Publikationen

Komplette Publikationsliste anzeigen

Shima Asaadi, Eugenie Giesbrecht, Sebastian Rudolph
Compositional matrix-space models of language: Definitions, properties, and learning methods
Natural Language Engineering, 29(1):1-49, January 2023
Details Download

Shima Asaadi, Saif M. Mohammad, Svetlana Kiritchenko
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), June 2019
Details Download

Shima Asaadi, Sebastian Rudolph
Gradual Learning of Matrix-Space Models of Language for Sentiment Analysis
In Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih, eds., Proceedings of the 2nd Workshop on Representation Learning for NLP, ACL2017, 178-185, August 2017. Association for Computational Linguistics
Details Download

Shima Asaadi, Sebastian Rudolph
On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata
Proceedings of the ACL Workshop on Statistical Natural Language Processing and Weighted Automata (StatFSM 2016), August 2016
Details Download

Komplette Publikationsliste anzeigen