Demo Data from VLDB 2026 / reviewers in the wild / expert
Renate Henschel
dblp:72/4702
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 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% |
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 |
|---|---|---|---|
| 2001 | Corpus-based NP Modifier Generation
Hua Cheng 0001, Massimo Poesio, Renate Henschel, Chris Mellish |
NAACL | 3 |
| 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 | 3 |
| 2000 | Pronominalization revisited
Renate Henschel, Hua Cheng 0001, Massimo Poesio |
COLING | 1 |
| 1994 | The Merged Upper Model: A Linguistic Ontology For German And English
Renate Henschel, John A. Bateman |
COLING | 1 |
| 1991 | Limits Of A Sentence Based Procedural Approach For Aspect Choice In German-Russian MTabstractIn this paper we discuss some problems arising in German-Russian Machine Translation with regard to tense and aspect. Since the formal category of aspect is missing in German the information required for generating Russian aspect forms has to be extracted from different representation levels. A sentence based procedure for aspect choice in the MT system VIRTEX is presented which takes lexical, morphological and semantic criteria into account. The limits of this approach are shown. To overcome these difficulties a human interaction component is proposed. Bianka Buschbeck-Wolf, Renate Henschel, Iris Höser, Gerda Klimonow, Andreas Küstner, Ingrid Starke |
EACL | 2 |
| 1990 | VIRTEX - a German-Russian Translation Experiment
Bianka Buschbeck-Wolf, Renate Henschel, Iris Höser, Gerda Klimonow, Andreas Küstner, Ingrid Starke |
COLING | 2 |