Peter W J Staar
Scholar

Peter W J Staar

Google Scholar ID: sPuvIfgAAAAJ
IBM Research
Generative AIDocument processing for LLM alignmentHigh Performance Computing
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Citations & Impact
All-time
Citations
1,815
 
H-index
21
 
i10-index
38
 
Publications
20
 
Co-authors
0
 
Contact
Emaildeepsearch-core@zurich.ibm.comGitHubOpen ↗
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Technical Contributions:
  • - Developed technology capable of automatically detecting and segmenting document objects
  • - Provided functionality for parsing and enriching document content
  • - Implemented the ability to link entity types across documents through knowledge graphs
Research Experience
  • Work Experience: Involved in the development of IBM Deep Search project
  • Research Projects: Deep Search - Converts unstructured PDF documents into structured JSON files, supports the collection, conversion, enrichment, and linking of large document collections.
Background
  • Research Interests: Artificial Intelligence, Natural Language Processing, Knowledge Graph Construction
  • Professional Field: Document Conversion and Analysis, Data Mining
Miscellany
  • Use Cases:
  • - Patent Literature Analysis
  • - Scientific Publication Processing
  • - News Article Search
Co-authors
0 total
Co-authors: 0 (list not available)