Miikka Silfverberg

947 citations
46 papers · 325 indexed · h-index 9
Topics
Natural Language Processing Techniques (42 papers)Topic Modeling (33 papers)Speech and dialogue systems (10 papers)
Journals
Language Resources and EvaluationMeeting of the Association for Computational LinguisticsTyöväentutkimus Vuosikirja

In The Last Decade

Miikka Silfverberg

43 papers receiving 281 citations

Peers

Miikka Silfverberg
Comparison fields: 5 of 38
  • Artificial Intelligence 281
  • Computer Vision and Pattern Recognition 57
  • Signal Processing 23
  • Transportation 22
  • Geography, Planning and Development 18
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Countries citing papers authored by Miikka Silfverberg

Since Specialization
Citations

This map shows the geographic impact of Miikka Silfverberg'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 Miikka Silfverberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miikka Silfverberg more than expected).

Fields of papers citing papers by Miikka Silfverberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miikka Silfverberg. 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 Miikka Silfverberg. The network helps show where Miikka Silfverberg may publish in the future.

Co-authorship network of co-authors of Miikka Silfverberg

This figure shows the co-authorship network connecting the top 25 collaborators of Miikka Silfverberg. A scholar is included among the top collaborators of Miikka Silfverberg 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 Miikka Silfverberg. Miikka Silfverberg 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 2
2 2
3 1
4 1
5 0
6 3
7 23
8
Sub-label dependencies for neural morphological tagging--the joint submission of University of Colorado and University of Helsinki for VarDial 2018
2
9
A Computational Architecture for the Morphology of Upper Tanana
2
10
A Computational Model for the Linguistic Notion of Morphological Paradigm
7
11 41
12 17
13
Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources
1
14 12
15
Heuristic Hyper-minimization of Finite State Lexicons
1
16
Finite-state subset approximation of phrase structure.
2
17
Improving Finite-State Spell-Checker Suggestions with Part of Speech N-Grams
4
18
Improving Predictive Entry of Finnish Text Messages using IRC Logs
1
19
A Method for Compiling Two-Level Rules with Multiple Contexts
3
20 2

About Miikka Silfverberg

Miikka Silfverberg is a scholar working on Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 325 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (42 papers), Topic Modeling (33 papers) and Speech and dialogue systems (10 papers). The work is most often cited by research in Artificial Intelligence (281 citations), Transportation (22 citations) and Geography, Planning and Development (18 citations). Miikka Silfverberg has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Mans Hulden, Krister Lindén, Garrett Nicolai, Mikko Kurimo, Ryan Cotterell, Ekaterina Vylomova, Arya D. McCarthy, Francis M. Tyers, Antti Arppe and Christo Kirov. Their work appears in journals such as Language Resources and Evaluation, Meeting of the Association for Computational Linguistics and Työväentutkimus Vuosikirja.

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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