Papers by Piper Armstrong

2 papers
Automatic Evaluation of Local Topic Quality (P19-1)

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Challenge: Topic models are evaluated with global topic distributions but without local topic assignments.
Approach: They propose a task to elicit human judgments of token-level topic assignments . they propose to use global metrics to evaluate topic models at a local level .
Outcome: The proposed task elicits human judgments of token-level topic assignments . global metrics agree poorly with human assignments, the authors show .
Cross-referencing Using Fine-grained Topic Modeling (N19-1)

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Challenge: Cross-referencing is a useful study aid for facilitating comprehension of a text, but it requires extensive thematic knowledge and a focused search through the corpus to find such useful connections.
Approach: They propose a system for producing candidate cross-references which can be easily verified by human annotators.
Outcome: a new system can produce cross-references that can be easily verified by human annotators . the system uses fine-grained topic modeling to identify verse pairs which are topically related .

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