Luke Breitfeller

According to our database, Luke Breitfeller authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction.

Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Linguistically-Inspired Neural Coreference Resolution.

Xuanyue Yang, Wenting Ye, Luke Breitfeller, Tianwei Yue, Wenping Wang

Adv. Artif. Intell. Mach. Learn., 2023

2022

Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction.

Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé

CoRR, 2022

2021

STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models.

Luke Breitfeller, Aakanksha Naik, Carolyn P. Rosé

CoRR, 2021

2020

Angelfish: Building a Structurally Diverse Clinical Document Corpus.

Guy Divita, Bart Desmet, Ayah Zirikly, Luke Breitfeller, Carolyn P. Rosé

Proceedings of the AMIA 2020, 2020

2019

TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events.

Aakanksha Naik, Luke Breitfeller, Carolyn P. Rosé

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.

Luke Breitfeller, Emily Ahn, David Jurgens, Yulia Tsvetkov

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States.

Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé

Proceedings of the 12th International Conference on Educational Data Mining, 2019