Demo Data from EDBT 2026 / reviewers in the wild / expert
Woodley Packard
dblp:116/0550
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-author
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% | |
| Theoretical computer science
1 paper |
Logic in computer science · 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 › semantic analysis
negation scope detection |
0.2 | 1 | 2014 | Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem · ACL (1) 2014 |
Logic in computer science › semantics
underspecified semantics |
0.1 | 1 | 2014 | Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem · ACL (1) 2014 |
Methods — techniques the papers use, named apart from their topics
semantic representation · 0.4deep parsing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic ProblemabstractIn this work, we revisit Shared Task 1 from the 2012 *SEM Conference: the au-tomated analysis of negation. Unlike the vast majority of participating systems in 2012, our approach works over explicit and formal representations of proposi-tional semantics, i.e. derives the notion of negation scope assumed in this task from the structure of logical-form meaning rep-resentations. We relate the task-specific interpretation of (negation) scope to the concept of (quantifier and operator) scope in mainstream underspecified semantics. With reference to an explicit encoding of semantic predicate-argument structure, we can operationalize the annotation deci-sions made for the 2012 *SEM task, and demonstrate how a comparatively simple system for negation scope resolution can be built from an off-the-shelf deep parsing system. In a system combination setting, our approach improves over the best pub-lished results on this task to date. 1 Woodley Packard, Emily M. Bender, Jonathon Read, Stephan Oepen, Rebecca Dridan |
ACL (1) | 1 |
| 2012 | Towards Efficient HPSG Generation for German, a Non-Configurational Language
Berthold Crysmann, Woodley Packard |
COLING | 2 |
| 2012 | Choosing an Evaluation Metric for Parser Design
Woodley Packard |
HLT-NAACL | 1 |