Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Trenkmann
dblp:13/7968
· DBLP profile ↗
6ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 2Graphics, computer vision, multimedia, augmented reality and games · 2
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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
search interfaces |
0.1 | 1 | 2012 | WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard Search · IEEE Trans. Vis. Comput. Graph. 2012 |
Information retrieval › query processing
wildcard query |
0.1 | 1 | 2012 | WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard Search · IEEE Trans. Vis. Comput. Graph. 2012 |
Visualization and visual analytics
information visualization |
0.1 | 1 | 2012 | WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard Search · IEEE Trans. Vis. Comput. Graph. 2012 |
Information retrieval › retrieval models
probabilistic retrieval model |
0.0 | 1 | 2012 | WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard Search · IEEE Trans. Vis. Comput. Graph. 2012 |
Information retrieval
retrieval models |
0.0 | 1 | 2012 | WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard Search · IEEE Trans. Vis. Comput. Graph. 2012 |
Methods — techniques the papers use, named apart from their topics
query expansion · 0.3probabilistic retrieval · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | A Review Corpus for Argumentation Analysis
Henning Wachsmuth, Martin Trenkmann, Benno Stein 0001, Gregor Engels, Tsvetomira Palakarska |
CICLing (2) | 2 |
| 2014 | Modeling Review Argumentation for Robust Sentiment Analysis
Henning Wachsmuth, Martin Trenkmann, Benno Stein 0001, Gregor Engels |
COLING | 2 |
| 2012 | WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard SearchabstractThe WORDGRAPH helps writers in visually choosing phrases while writing a text. It checks for the commonness of phrases and allows for the retrieval of alternatives by means of wildcard queries. To support such queries, we implement a scalable retrieval engine, which returns high-quality results within milliseconds using a probabilistic retrieval strategy. The results are displayed as WORDGRAPH visualization or as a textual list. The graphical interface provides an effective means for interactive exploration of search results using filter techniques, query expansion, and navigation. Our observations indicate that, of three investigated retrieval tasks, the textual interface is sufficient for the phrase verification task, wherein both interfaces support context-sensitive word choice, and the WORDGRAPH best supports the exploration of a phrase's context or the underlying corpus. Our user study confirms these observations and shows that WORDGRAPH is generally the preferred interface over the textual result list for queries containing multiple wildcards. Patrick Riehmann, Henning Gruendl, Martin Potthast, Martin Trenkmann, Benno Stein 0001, Bernd Fröhlich 0001 |
IEEE Trans. Vis. Comput. Graph. | 4 |
| 2011 | The NETSPEAK WORDGRAPH: Visualizing keywords in contextabstractNETSPEAK helps writers in choosing words while writing a text. It checks for the commonness of phrases and allows for the retrieval of alternatives by means of wildcard queries. To support such queries, we implement a scalable retrieval engine, which returns high-quality results within milliseconds using a probabilistic retrieval strategy. The results are displayed as WORDGRAPH visualization or as a textual list. The graphical interface provides an effective means for interactive exploration of search results using filter techniques, query expansion and navigation. Our observations indicate that, of three investigated retrieval tasks, the textual interface is sufficient for the phrase verification task, wherein both views support context-sensitive word choice, and the WORDGRAPH best supports the exploration of a phrase's context or the underlying corpus. The preferred view for context-sensitive word choice seems to depend on query complexity (i.e. the number of wildcards in a query). Patrick Riehmann, Henning Gruendl, Bernd Fröhlich 0001, Martin Potthast, Martin Trenkmann, Benno Stein 0001 |
PacificVis | 5 |
| 2010 | Netspeak - Assisting Writers in Choosing Words
Martin Potthast, Martin Trenkmann, Benno Stein 0001 |
ECIR | 2 |
| 2010 | Retrieving Customary Web Language to Assist Writers
Benno Stein 0001, Martin Potthast, Martin Trenkmann |
ECIR | 3 |