Parker Seegmiller

According to our database¹, Parker Seegmiller authored at least 9 papers between 2022 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Depth F<sub>1</sub>: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability.

[BibT_eX]

[DOI]

Parker Seegmiller

Joseph Gatto

Sarah Masud Preum

CoRR, 2024

Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit.

[BibT_eX]

[DOI]

CoRR, 2024

Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity.

[BibT_eX]

[DOI]

CoRR, 2023

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence.

[BibT_eX]

[DOI]

CoRR, 2023

HealthE: Recognizing Health Advice & Entities in Online Health Communities.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings.

[BibT_eX]

[DOI]

Parker Seegmiller

Sarah Preum

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

HealthE: Classifying Entities in Online Textual Health Advice.

[BibT_eX]

[DOI]

CoRR, 2022

Parker Seegmiller

Timeline

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