Congratulations to CLI Labs on Paper Acceptances at EMNLP 2024!

We are thrilled to announce that several papers from our students and faculty at the Computational Linguistics and Information (CLI) Labs have been accepted at the prestigious 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) this November. Here is the list of papers to be presented at EMNLP 2024:

Abhishek Purushothama, Adam Wiemerslage, Katharina von der Wense (2024) “Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection”. Proceedings of EMNLP 2024, Miami, FL.
Amir Zeldes, Tatsuya Aoyama, Yang Janet Liu, Siyao Peng, Debopam Das and Luke Gessler (2024) “eRST: A Signaled Graph Theory of Discourse Relations and Organization”. Computational Linguistics, 1–47, presented at EMNLP 2024.
Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Gotlieb Wilcox (2024) “On the Role of Context in Reading Time Prediction”. Proceedings of EMNLP 2024, Miami, FL.
Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Gotlieb Wilcox, Mario Giulianelli, Alex Warstadt (2024) “Surprisal Curves of Discourse”. Proceedings of EMNLP 2024, Miami, FL.
Lauren Levine and Amir Zeldes (2024) “Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM”. In: Proceedings of CRAC 2024: Workshop on Reference, Anaphora and Coreference at EMNLP 2024. Miami, FL.
Samuel Kiegeland*, Ethan Gotlieb Wilcox*, Afra Amini, David Robert Reich, Ryan Cotterell (2024) “Reverse-Engineering the Reader”. Proceedings of EMNLP 2024, Miami, FL.
Shabnam Behzad, Amir Zeldes, Nathan Schneider (2024) “To Ask LLMs about English Grammaticality, Prompt Them in a Different Language”. Findings of EMNLP 2024, Miami FL.
Tatsuya Aoyama, Nathan Schneider (2024), “Modeling Nonnative Sentence Processing with L2LMs”. Proceedings of EMNLP 2024, Miami, FL.
Xiulin Yang, Jonas Groschwitz, Alexander Koller, Johan Bos (2024) “Scope-enhanced Compositional Semantic Parsing for DRT”. Proceedings of EMNLP 2024, Miami, FL.
Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari and Amir Zeldes (2024) “GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains”. In: Proceedings of EMNLP 2024, Miami, FL.

For more information about EMNLP 2024, visit: https://2024.emnlp.org/ .