Cassandra L. Jacobs

According to our database, Cassandra L. Jacobs authored at least 17 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

On the scaling relationship between cloze probabilities and language model next-token prediction.

Cassandra L. Jacobs, Morgan Grobol

CoRR, February, 2026

Assessing the ability of neural TTS systems to model consonant-induced f0 perturbation.

Tianle Yang, Chengzhe Sun, Phil Rose, Cassandra L. Jacobs, Siwei Lyu

Comput. Speech Lang., 2026

2025

Less is more: Probabilistic reduction is best explained by small-scale predictability measures.

Cassandra L. Jacobs, Andrés Buxó-Lugo, Anna K. Taylor, Marie Leopold-Hooke

CoRR, December, 2025

Subword Tokenization Strategies for Kurdish Word Embeddings.

Ali Salehi, Cassandra L. Jacobs

CoRR, November, 2025

A Bayesian account of pronoun and neopronoun acquisition.

Cassandra L. Jacobs, Morgan Grobol

CoRR, April, 2025

2024

Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically aligned.

Cassandra L. Jacobs, Loïc Grobol, Alvin Tsang

CoRR, 2024

2023

The distribution of discourse relations within and across turns in spontaneous conversation.

S. Magalí López Cortez, Cassandra L. Jacobs

CoRR, 2023

Incorporating Annotator Uncertainty into Representations of Discourse Relations.

S. Magalí López Cortez, Cassandra L. Jacobs

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

University at Buffalo at SemEval-2023 Task 11: MASDA-Modelling Annotator Sensibilities through DisAggregation.

Michael Sullivan, Mohammed Yasin, Cassandra L. Jacobs

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022

Lost in Space Marking.

Cassandra L. Jacobs, Yuval Pinter

CoRR, 2022

The Viability of Best-worst Scaling and Categorical Data Label Annotation Tasks in Detecting Implicit Bias.

Parker Glenn, Cassandra L. Jacobs, Marvin Thielk, Yi Chu

Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

2021

CMCL 2021 Shared Task on Eye-Tracking Prediction.

Nora Hollenstein, Emmanuele Chersoni, Cassandra L. Jacobs, Yohei Oseki, Laurent Prévot, Enrico Santus

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020

UniMorph 3.0: Universal Morphology.

Arya D. McCarthy, Christo Kirov, Matteo Grella, Amrit Nidhi, Patrick Xia, Kyle Gorman, Ekaterina Vylomova, Sabrina J. Mielke, Garrett Nicolai, Miikka Silfverberg, Timofey Arkhangelskiy, Nataly Krizhanovsky, Andrew Krizhanovsky, Elena Klyachko, Alexey Sorokin, John Mansfield, Valts Ernstreits, Yuval Pinter, Cassandra L. Jacobs, Ryan Cotterell, Mans Hulden, David Yarowsky

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Will it Unblend?

Yuval Pinter, Cassandra L. Jacobs, Jacob Eisenstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

NYTWIT: A Dataset of Novel Words in the New York Times.

Yuval Pinter, Cassandra L. Jacobs, Max Bittker

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Self-Priming in Production: Evidence for a Hybrid Model of Syntactic Priming.

Cassandra L. Jacobs, Sun-Joo Cho, Duane G. Watson

Cogn. Sci., 2019

2015

Predictions for self-priming from incremental updating models unifying comprehension and production.

Cassandra L. Jacobs

Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, 2015