Papers by Hunter Heidenreich

    2 papers
    Page Stream Segmentation with LLMs: Challenges and Applications in Insurance Document Automation (2025.coling-industry)

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    Challenge: Existing models for page Stream Segmentation (PSS) are inadequate for high-stakes applications.
    Approach: They propose to use large language models for page Stream Segmentation to apply parameter-efficient fine-tuning to real-world insurance data.
    Outcome: The proposed model outperforms baseline models in page- and stream-level segmentation accuracy.
    Latent semantic network induction in the context of linked example senses (D19-55)

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    Challenge: Using the Princeton WordNet, we construct a network using the entirety of Wiktionary.
    Approach: They propose to use Wiktionary to construct a wordnet using the entirety of the open-source dictionary.
    Outcome: The proposed network induction process is similar to the Princeton WordNet, but with a more data-driven approach.

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