Demo Data from VLDB 2026 / reviewers in the wild / expert
Rodger Kibble
dblp:01/6059
· DBLP profile ↗
7ranked-venue papers
4as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 7 · 4 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% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › discourse analysis › discourse processing
centering theory |
0.0 | 1 | 2000 | Specifying the Parameters of Centering Theory: a Corpus-Based Evaluation using Text from Application-Oriented Domains · ACL 2000 |
Natural language and speech › Information extraction and text analysis › discourse analysis › discourse processing
discourse interpretation |
0.0 | 1 | 2000 | Specifying the Parameters of Centering Theory: a Corpus-Based Evaluation using Text from Application-Oriented Domains · ACL 2000 |
Methods — techniques the papers use, named apart from their topics
corpus annotation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Optimizing Referential Coherence in Text GenerationabstractThis article describes an implemented system which uses centering theory for planning of coherent texts and choice of referring expressions. We argue that text and sentence planning need to be driven in part by the goal of maintaining referential continuity and thereby facilitating pronoun resolution: Obtaining a favorable ordering of clauses, and of arguments within clauses, is likely to increase opportunities for nonambiguous pronoun use. Centering theory provides the basis for such an integrated approach. Generating coherent texts according to centering theory is treated as a constraint satisfaction problem. The well-known Rule 2 of centering theory is reformulated in terms of a set of constraints—cohesion, salience, cheapness, and continuity—and we show sample outputs obtained under a particular weighting of these constraints. This framework facilitates detailed research into evaluation metrics and will therefore provide a productive research tool in addition to the immediate practical benefit of improving the fluency and readability of generated texts. The technique is generally applicable to natural language generation systems, which perform hierarchical text structuring based on a theory of coherence relations with certain additional assumptions. Rodger Kibble, Richard Power |
Comput. Linguistics | 1 |
| 2001 | A Reformulation of Rule 2 of Centering TheorabstractThe standard preference ordering on the well-known centering transitions Continue, Retain, Shift is argued to be unmotivated: a partial, context-dependent ordering emerges from the interaction between principles dubbed cohesion (maintaining the same center of attention) and salience (realizing the center of attention as the most prominent NP). A new formulation of Rule 2 of centering theory is proposed that incorporates these principles as well as a streamlined version of Strube and Hahn's (1999) notion of cheapness. It is argued that this formulation provides a natural way to handle “topic switches” that appear to violate the canonical preference ordering. Rodger Kibble |
Comput. Linguistics | 1 |
| 2000 | Specifying the Parameters of Centering Theory: a Corpus-Based Evaluation using Text from Application-Oriented DomainsabstractThe definitions of the basic concepts, rules, and constraints of centering theory involve underspecified notions such as 'previous utterance', 'realization', and 'ranking'. We attempted to find the best way of defining each such notion among those that can be annotated reliably, and using a corpus of texts in two domains of practical interest. Our main result is that trying to reduce the number of utterances without a backward-looking center (CB) results in an increased number of cases in which some discourse entity, but not the CB, gets pronominalized, and viceversa. Massimo Poesio, Hua Cheng 0001, Renate Henschel, Janet Hitzeman, Rodger Kibble, Rosemary Stevenson |
ACL | 5 |
| 2000 | An integrated framework for text planning and pronominalisationabstractThis paper describes an implemented system which uses centering theory for planning of coherent texts and choice of referring expressions. We argue that text and sentence planning need to be driven in part by the goal of maintaining referential continuity and thereby facilitating pronoun resolution: obtaining a favourable ordering of clauses, and of arguments within clauses, is likely to increase opportunities for non-ambiguous pronoun use. Centering theory provides the basis for such an integrated approach. Generating coherent texts according to centering theory is treated as a constraint satisfaction problem. Rodger Kibble, Richard Power |
INLG | 1 |
| 2000 | Enabling Resource Sharing in Language Generation: an Abstract Reference Architecture
Lynne J. Cahill, Christine Doran, Roger Evans, Rodger Kibble, Chris Mellish, Daniel S. Paiva, Mike Reape, Donia Scott, Neil Tipper |
LREC | 4 |
| 2000 | Coreference Annotation: Whither?
Rodger Kibble, Kees van Deemter |
LREC | 1 |
| 2000 | On Coreferring: Coreference in MUC and Related Annotation SchemesabstractIn this paper, it is argued that “coreference” annotations, as performed in the MUC community for example, go well beyond annotation of the relation of coreference proper. As a result, it is not always clear what semantic relation these annotations are encoding. The paper discusses a number of problems with these annotations and concludes that rethinking of the coreference task is needed before the task is expanded. In particular, it suggests a division of labor whereby annotation of the coreference relation proper is separated from other tasks such as annotation of bound anaphora and of the relation between a subject and a predicative NP. Kees van Deemter, Rodger Kibble |
Comput. Linguistics | 2 |