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A type of Lewis acid-base chemistry involves the formation of a complex ion (or a coordination complex) comprising a central atom, typically a transition metal cation, surrounded by ions or molecules called ligands. These ligands can be neutral molecules like H2O or NH3, or ions such as CN− or OH−. Often, the ligands act as Lewis bases, donating a pair of electrons to the central atom. These types of Lewis acid-base reactions are examples of a broad subdiscipline called coordination...
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Fonduer: Knowledge Base Construction from Richly Formatted Data.

Sen Wu1,2, Luke Hsiao1,2, Xiao Cheng1,2

  • 1Stanford University.

Proceedings. ACM-SIGMOD International Conference on Management of Data
|June 26, 2018
PubMed
Summary
This summary is machine-generated.

Fonduer, a machine-learning system, extracts knowledge from complex documents by integrating text, structure, and visuals. It significantly improves knowledge base construction accuracy and usability for experts and non-experts alike.

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Area of Science:

  • Artificial Intelligence
  • Data Science
  • Information Extraction

Background:

  • Knowledge Base Construction (KBC) traditionally focuses on text or tabular data.
  • Richly formatted data presents unique challenges due to multimodal information (textual, structural, tabular, visual).
  • Existing methods struggle to effectively extract relations from these complex data types.

Purpose of the Study:

  • Introduce Fonduer, a novel machine-learning system for KBC from richly formatted data.
  • Address the challenges of document-level relations, multimodality, and data variety.
  • Enable users to leverage domain expertise for supervision signals.

Main Methods:

  • Developed a new data model to handle document-level relations, multimodality, and data variety.
  • Utilized a deep-learning model for automatic feature representation learning.
  • Created a new programming model for user-guided supervision signal generation.

Main Results:

  • Fonduer achieved an average improvement of 41 F1 points over state-of-the-art KBC approaches.
  • Demonstrated up to 1.87x more correct entries compared to expert-curated knowledge bases.
  • User study showed non-experts achieved 23 F1 points higher quality using Fonduer after 30 minutes.

Conclusions:

  • Fonduer effectively constructs knowledge bases from richly formatted data.
  • The system offers significant improvements in accuracy and efficiency.
  • Fonduer's programming model enhances usability for a wider range of users.