Demo Data from VLDB 2026 / reviewers in the wild / expert
Scott Safier
dblp:68/1164
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1985
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
syntactic parsing |
0.0 | 1 | 1985 | Semantic Caseframe Parsing & Syntactic Generality · ACL 1985 |
Natural language and speech › Information extraction and text analysis › syntactic parsing
robust parsing |
0.0 | 1 | 1985 | Semantic Caseframe Parsing & Syntactic Generality · ACL 1985 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | Semantic Caseframe Parsing & Syntactic GeneralityabstractWe have implemented a restricted domain parser called Plume.™ Building on previous work at Carnegie-Mellon University e.g. [4. 5. 8]. Plume's approach to parsing is based on semantic caseframe instantiation. This has the advantages of efficiency on grammatical input and robustness in the face of ungrammatical input. While Plume is well adapted to simple declarative and imperative utterances. It handles passives relative clauses and interrogatives in an ad hoc manner leading to patchy syntactic coverage. This paper outlines Plume as it currently exists and describes our detailed design for extending Plume to handle passives relative clauses and interrogatives in a general manner Philip J. Hayes, Peggy M. Anderson, Scott Safier |
ACL | 3 |