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

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Depth F<sub>1</sub>: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability.
CoRR, 2024

Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit.
CoRR, 2024

Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data.
CoRR, 2024

2023
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity.
CoRR, 2023

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence.
CoRR, 2023

HealthE: Recognizing Health Advice & Entities in Online Health Communities.
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.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
HealthE: Classifying Entities in Online Textual Health Advice.
CoRR, 2022


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