Demo Data from EDBT 2026 / reviewers in the wild / expert
Won Seug Choi
dblp:81/4451
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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 |
Information extraction and text analysis · 100% |
Topics — the 3 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
dialogue analysis |
0.0 | 1 | 1999 | Analysis System of Speech Acts and Discourse Structures Using Maximum Entropy Model · ACL 1999 |
Natural language and speech › Information extraction and text analysis
discourse analysis |
0.0 | 1 | 1999 | Analysis System of Speech Acts and Discourse Structures Using Maximum Entropy Model · ACL 1999 |
Natural language and speech › Information extraction and text analysis › dialogue analysis
speech act recognition |
0.0 | 1 | 1999 | Analysis System of Speech Acts and Discourse Structures Using Maximum Entropy Model · ACL 1999 |
Methods — techniques the papers use, named apart from their topics
maximum entropy model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Analysis System of Speech Acts and Discourse Structures Using Maximum Entropy ModelabstractWe propose a statistical dialogue analysis model to determine discourse structures as well as speech acts using maximum entropy model. The model can automatically acquire probabilistic discourse knowledge from a discourse tagged corpus to resolve ambiguities. We propose the idea of tagging discourse segment boundaries to represent the structural information of discourse. Using this representation we can effectively combine speech act analysis and discourse structure analysis in one framework. Won Seug Choi, Jeong-Mi Cho, Jungyun Seo |
ACL | 1 |