Papers by Stephen Wilson
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text (2022.findings-emnlp)
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| Challenge: | 305 open access scientific articles are used for synthesis action graphs . lack of annotated data has hindered progress in this field . |
| Approach: | They propose to annotate Polycrystalline Materials Synthesis Procedures PcMSP from 305 open access scientific articles for the construction of synthesis action graphs. |
| Outcome: | The proposed dataset contains the synthesis sentences, entity mentions and intra-sentence relations extracted from the experimental paragraphs. |
Automatic Evaluation of Local Topic Quality (P19-1)
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Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber, Kevin Seppi
| 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 . |
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier (D18-1)
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| Challenge: | Labeled Anchors is an interactive and supervised topic model based on the anchor words algorithm . |
| Approach: | They propose an interactive supervised topic model based on the anchor words algorithm . they propose a classifier which requires no training beyond topic inference . |
| Outcome: | The proposed model is human-interpretable and fast, and can be interactive. |
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 . |