Zehn Papers bei ACL 2023 angenommen

Zehn wissenschaftliche Beiträge unserer Fachrichtung wurden bei ACL 2023 angenommen. Herzlichen Glückwunsch an alle Autorinnen und Autoren!

• “AfricaPOS: Part-of-Speech Tagging for Typologically Diverse African languages” von Cheikh M. Bamba Dione, David Adelani, Peter Nabende,  Jesujoba Alabi, Thapelo Sindane, Happy Buzaaba, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Perez Ogayo, Anuoluwapo Aremu, Catherine Gitau, Derguene Mbaye, Jonathan Mukiibi, Blessing Sibanda, Bonaventure F. P. Dossou, Andiswa Bukula, Rooweither Mabuya, Allahsera Auguste Tapo, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Fatoumata Ouoba Kabore, Amelia Taylor, Godson Kalipe, Tebogo Macucwa, Vukosi Marivate, Tajuddeen Gwadabe, Mboning Tchiaze Elvis, Ikechukwu Onyenwe, Gratien Atindogbe, Tolulope Adelani, Idris Akinade, Olanrewaju Samuel, Marien Nahimana, Théogène Musabeyezu, Emile Niyomutabazi, Ester Chimhenga, Kudzai Gotosa, Patrick Mizha, Apelete Agbolo, Seydou Traore, Chinedu Uchechukwu, Aliyu Yusuf, Muhammad Abdullahi und Dietrich Klakow. ACL 2023.
• “Revisiting Sample Size Determination in Natural Language Understanding” von Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi und Vikas Chandra. Short paper, ACL 2023.
• “Visual Coherence Loss for Coherent and Visually Grounded Story  Generation” von Xudong Hong, Vera Demberg, Asad Sayeed, Qiankun Zheng und Bernt Schiele. Long paper, ACL 2023.
• “Entity Tracking in Language Models” von Najoung Kim und Sebastian Schuster. ACL 2023.
• “Compositional Generalization without Trees using Multiset Tagging and Latent Permutations” von Matthias Lindemann, Alexander Koller und Ivan Titov. ACL 2023.
• “Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation” von Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow und Yanai Elaza. Short paper, ACL 2023.
• “Incorporating Distribution of Discourse Structure for Long Document Abstractive Summarization” von Dongqi Pu, Yifan Wang und Vera Demberg. Long paper, ACL 2023.
• “What’s the Meaning of Superhuman Performance in Today’s NLU?” von Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova und Roberto Navigli. ACL 2023.
• “Weaker Than You Think: A Critical Look at Weakly Supervised Learning” von Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Joseph Stephan und Dietrich Klakow. ACL 2023.
• "Towards Efficient Dialogue Processing in the Emergency Response Domain" von Tatiana Anikina (DFKI & UdS). Student Research Workshop. ACL 2023.