Demo Data from EDBT 2026 / reviewers in the wild / expert
Marcia C. Linebarger
dblp:79/5661
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 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
2 papers |
Information extraction and text analysis · 100% |
Topics — the 1 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 › coreference resolution
reference resolution |
0.0 | 1 | 1986 | Recovering Implicit Information · ACL 1986 |
Methods — techniques the papers use, named apart from their topics
modular syntax-semantics-pragmatics approach · 0.0syntactic-semantic-pragmatic processing · 0.0prolog · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Sentence Fragments Regular StructuresabstractThis paper describes an analysis of telegraphic fragments as regular structures (not errors) handled by minimal extensions to a system designed for processing the standard language. The modular approach which has been implemented in the Unisys natural language processing system PUNDIT is based on a division of labor in which syntax regulates the occurrence and distribution of elided elements, and semantics and pragmatics use the system's standard mechanisms to interpret them. Marcia C. Linebarger, Deborah A. Dahl, Lynette Hirschman, Rebecca J. Passonneau |
ACL | 1 |
| 1986 | Recovering Implicit InformationabstractThis paper describes the SDC PUNDIT, (Prolog UNDerstands Integrated Text), system for processing natural language messages.1 PUNDIT, written in Prolog, is a highly modular system consisting of distinct syntactic, semantic and pragmatics components.Each component draws on one or more sets of data, including a lexicon, a broad-coverage grammar of EngLish, semantic verb decompositions, rules mapping between syntactic and semantic constituents, and a domain model.This paper discusses the communication between the syntactic, semantic and pragmatic modules that is necessary for making implicit linguistic information explicit.The key is letting syntax and semantics recognize missing linguistic entities as implicit entities, so that they can be labelled as such, and referenee resolution can be directed to find specific referents for the entities.In this way the task of making implicit linguistic information explicit becomes a subset of the tasks performed by reference resolution.The success of this approach is dependent on marking missing syntactic constituents as elided and missing semantic roles as ESSENTIAL so that reference resolution can know when to look for referents. Martha Palmer, Deborah A. Dahl, Rebecca J. Schiffman, Lynette Hirschman, Marcia C. Linebarger, John Dowding |
ACL | 5 |