Demo Data from EDBT 2026 / reviewers in the wild / expert
Thilo W. Goetz
dblp:74/9726
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Information extraction and text analysis · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
rule-based information extraction |
0.1 | 1 | 2011 | The SystemT IDE: an integrated development environment for information extraction rules · SIGMOD Conference 2011 |
Methods — techniques the papers use, named apart from their topics
rule-based extraction · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | The SystemT IDE: an integrated development environment for information extraction rulesabstractInformation Extraction (IE)-the problem of extracting structured information from unstructured text - has become the key enabler for many enterprise applications such as semantic search, business analytics and regulatory compliance. While rule-based IE systems are widely used in practice due to their well-known "explainability," developing high-quality information extraction rules is known to be a labor-intensive and time-consuming iterative process. Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thilo W. Goetz, C. T. Howard Ho, Rajasekar Krishnamurthy, Alexander Lang, Yunyao Li 0001, Bin Liu 0002, Sriram Raghavan, Frederick Reiss 0001, Shivakumar Vaithyanathan, Huaiyu Zhu 0001 |
SIGMOD Conference | 4 |