Demo Data from EDBT 2026 / reviewers in the wild / expert
Adrian Novischi
dblp:44/5261
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 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
1 paper |
Language models and text generation · 33% Question answering and dialogue systems · 33% Information extraction and text analysis · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Question answering and dialogue systems
answer re-ranking |
0.1 | 1 | 2006 | Question Answering with Lexical Chains Propagating Verb Arguments · ACL 2006 |
Natural language and speech › Language models and text generation › natural language understanding › question answering
factoid question answering |
0.1 | 1 | 2006 | Question Answering with Lexical Chains Propagating Verb Arguments · ACL 2006 |
Natural language and speech › Information extraction and text analysis › discourse analysis
lexical chains |
0.1 | 1 | 2006 | Question Answering with Lexical Chains Propagating Verb Arguments · ACL 2006 |
Methods — techniques the papers use, named apart from their topics
wordnet · 0.1verbnet · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Question Answering with Lexical Chains Propagating Verb ArgumentsabstractThis paper describes an algorithm for propagating verb arguments along lexical chains consisting of WordNet relations. The algorithm creates verb argument structures using VerbNet syntactic patterns. In order to increase the coverage, a larger set of verb senses were automatically associated with the existing patterns from VerbNet. The algorithm is used in an in-house Question Answering system for re-ranking the set of candidate answers. Tests on factoid questions from TREC 2004 indicate that the algorithm improved the system performance by 2.4%. Adrian Novischi, Dan I. Moldovan |
ACL | 1 |
| 2004 | Word sense disambiguation of WordNet glosses
Dan I. Moldovan, Adrian Novischi |
Comput. Speech Lang. | 2 |
| 2002 | Lexical Chains for Question Answering
Dan I. Moldovan, Adrian Novischi |
COLING | 2 |