Papers by Dayne Freitag
Schema-Driven Information Extraction from Heterogeneous Tables (2024.findings-emnlp)
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| Challenge: | Existing work on information extraction from tables has focused on developing custom pipelines for each table collection. |
| Approach: | They propose a task that transforms tabular data into structured records following a human-authored schema. |
| Outcome: | The proposed task achieves F1 scores ranging from 74.2 to 96.1 while maintaining cost efficiency. |
SynKB: Semantic Search for Synthetic Procedures (2022.emnlp-demos)
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| Challenge: | SynKB is an open-source, automatically extracted knowledge base of chemical synthesis protocols. |
| Approach: | They propose to make SynKB available as an open-source tool for chemists . synKB supports more flexible queries about reaction conditions . |
| Outcome: | The proposed open-source tool has higher recall and high precision than proprietary chemistry databases. |
Valet: Rule-Based Information Extraction for Rapid Deployment (2022.lrec-1)
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| Challenge: | a number of machine learning models can be trained to perform sentence-level information extraction at accuracies ranging from strong to adequate. |
| Approach: | They propose a Python framework for rule-based information extraction that allows for complex matching. |
| Outcome: | The proposed framework can be used to perform rule-based information extraction on examples. |