Sebastian Varges

403 citations
28 papers · 215 indexed · h-index 9
Topics
Speech and dialogue systems (24 papers)Topic Modeling (21 papers)Natural Language Processing Techniques (18 papers)
Journals
Language Resources and EvaluationNatural Language EngineeringInstitutional Research Information System (Università degli Studi di Trento)

In The Last Decade

Sebastian Varges

28 papers receiving 186 citations

Peers

Sebastian Varges
Comparison fields: 5 of 34
  • Artificial Intelligence 203
  • Social Psychology 18
  • Information Systems 15
  • Computer Vision and Pattern Recognition 15
  • Developmental and Educational Psychology 10
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Citations per year

Countries citing papers authored by Sebastian Varges

Since Specialization
Citations

This map shows the geographic impact of Sebastian Varges's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sebastian Varges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Varges more than expected).

Fields of papers citing papers by Sebastian Varges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Varges. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sebastian Varges. The network helps show where Sebastian Varges may publish in the future.

Co-authorship network of co-authors of Sebastian Varges

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Varges. A scholar is included among the top collaborators of Sebastian Varges based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Varges. Sebastian Varges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
SemScribe: Natural Language Generation for Medical Reports
5
2 7
3
Investigating Clarification Strategies in a Hybrid POMDP Dialog Manager
3
4 6
5 2
6 4
7 3
8
Proceedings of the 2009 Workshop on Language Generation and Summarisation
7
9 12
10 8
11 5
12 11
13 8
14
Spatial Descriptions as Referring Expressions in the MapTask Domain.
9
15
Chart Generation Using Production Systems.
5
16
Generating referring expressions containing Quantifiers
5
17
Generating Tutorial Feedback with Affect
26
18 2
19 33
20
The BE&E Tutorial Learning Environment (BEETLE)
3

About Sebastian Varges

Sebastian Varges is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 215 indexed citations. Recurring topics across this work include Speech and dialogue systems (24 papers), Topic Modeling (21 papers) and Natural Language Processing Techniques (18 papers). The work is most often cited by research in Artificial Intelligence (203 citations), Social Psychology (18 citations) and Human Factors and Ergonomics (2 citations). Sebastian Varges has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Chris Mellish, Giuseppe Riccardi, Silvia Quarteroni, Anja Belz, Heather Pon-Barry, Johanna D. Moore, Kaśka Porayska‐Pomsta, Claus Zinn, Fuliang Weng and А. В. Иванов. Their work appears in journals such as Language Resources and Evaluation, Natural Language Engineering and Institutional Research Information System (Università degli Studi di Trento).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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