While the preprocessing pipeline we are focusing on in this post is mainly centered around Deep Learning, most of it will also be applicable to conventional machine learning models too.
“This guide is designated to anybody with basic programming knowledge or a computer science background interested in becoming a Research Scientist with on Deep Learning and NLP”.
H. Chang, Z. Yao, A. Gon, H. Yu, and A. McCallum. Findings of the Association for Computational Linguistics: ACL 2023, page 12707--12730. Toronto, Canada, Association for Computational Linguistics, (July 2023)
H. Chang, and A. McCallum. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 8048--8073. Dublin, Ireland, Association for Computational Linguistics, (May 2022)
T. Ziegenbein, S. Syed, F. Lange, M. Potthast, and H. Wachsmuth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, page 4344--4363. Association for Computational Linguistics (ACL), (July 2023)Funding Information: This project has been partially funded by the German Research Foundation (DFG) within the project OASiS, project number 455913891, as part of the Priority Program “Robust Argumentation Machines (RATIO)” (SPP-1999). We would like to thank the participants of our study and the anonymous reviewers for the feedback and their time.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023.
S. Syed, T. Ziegenbein, P. Heinisch, H. Wachsmuth, and M. Potthast. Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue, page 114--129. Prague, Czechia, Association for Computational Linguistics, (September 2023)
M. Stahl, and H. Wachsmuth. Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges, page 31--36. (September 2023)
G. Skitalinskaya, and H. Wachsmuth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 15799–15816. Association for Computational Linguistics (ACL), (July 2023)Funding Information: We thank Andreas Breiter for his valuable feedback on early drafts, and the anonymous reviewers for their helpful comments. This work was partially funded by the Deutsche Forschungsgemeinschaft(DFG, German Research Foundation) under project number 374666841, SFB 1342.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023.
G. Skitalinskaya, M. Spliethöver, and H. Wachsmuth. Proceedings of the 16th International Natural Language Generation Conference, page 134--152. (2023)DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions..
M. Sengupta. Findings of the Association for Computational Linguistics: EMNLP 2023, page 4636–4659. Association for Computational Linguistics (ACL), (December 2023)
Z. Nouri, N. Prakash, U. Gadiraju, and H. Wachsmuth. IUI 2023 - Proceedings of the 28th International Conference on Intelligent User Interfaces, page 737–749. United States, Association for Computing Machinery (ACM), (Mar 27, 2023)