Bernd Bohnet

3.1k total citations
64 papers, 1.3k citations indexed

About

Bernd Bohnet is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Bernd Bohnet has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Language and Linguistics. Recurrent topics in Bernd Bohnet's work include Natural Language Processing Techniques (52 papers), Topic Modeling (46 papers) and Speech and dialogue systems (16 papers). Bernd Bohnet is often cited by papers focused on Natural Language Processing Techniques (52 papers), Topic Modeling (46 papers) and Speech and dialogue systems (16 papers). Bernd Bohnet collaborates with scholars based in Germany, Spain and United Kingdom. Bernd Bohnet's co-authors include Joakim Nivre, Leo Wanner, Pierre Nugues, Jonas Kuhn, Simon Mille, Richárd Farkas, Miguel Ballesteros, Anja Belz, Anders Björkelund and Yvette Graham and has published in prestigious journals such as Language Resources and Evaluation, Computer Speech & Language and Transactions of the Association for Computational Linguistics.

In The Last Decade

Bernd Bohnet

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernd Bohnet Germany 17 1.3k 109 107 90 84 64 1.3k
Ann Bies United States 14 1.3k 1.0× 84 0.8× 107 1.0× 176 2.0× 122 1.5× 44 1.4k
Kiyotaka Uchimoto Japan 20 1.2k 0.9× 177 1.6× 118 1.1× 80 0.9× 65 0.8× 92 1.3k
Reinhard Rapp Germany 12 833 0.7× 62 0.6× 79 0.7× 75 0.8× 83 1.0× 45 898
Claire Bonial United States 13 1.0k 0.8× 126 1.2× 74 0.7× 98 1.1× 55 0.7× 47 1.1k
Adam Lopez United Kingdom 21 1.3k 1.0× 165 1.5× 105 1.0× 126 1.4× 33 0.4× 64 1.4k
Matthew Snover United States 12 2.1k 1.7× 255 2.3× 156 1.5× 109 1.2× 113 1.3× 20 2.2k
Johan Hall Sweden 15 1.8k 1.4× 169 1.6× 161 1.5× 139 1.5× 77 0.9× 31 2.0k
Reut Tsarfaty Israel 15 1.1k 0.9× 122 1.1× 66 0.6× 50 0.6× 63 0.8× 57 1.2k
Daniel Zeman Czechia 21 1.8k 1.4× 159 1.5× 96 0.9× 100 1.1× 167 2.0× 78 1.9k
Julie Weeds United Kingdom 13 887 0.7× 61 0.6× 76 0.7× 115 1.3× 33 0.4× 35 960

Countries citing papers authored by Bernd Bohnet

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Bohnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Bohnet

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Bohnet. A scholar is included among the top collaborators of Bernd Bohnet 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 Bernd Bohnet. Bernd Bohnet 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
1.
Ballesteros, Miguel & Bernd Bohnet. (2014). Automatic Feature Selection for Agenda-Based Dependency Parsing. University of Birmingham Research Portal (University of Birmingham). 794–805. 8 indexed citations
2.
Ballesteros, Miguel, Bernd Bohnet, Simon Mille, & Leo Wanner. (2014). Deep-Syntactic Parsing. University of Birmingham Research Portal (University of Birmingham). 1402–1413. 10 indexed citations
3.
Bohnet, Bernd, et al.. (2013). Towards the Annotation of Penn TreeBank with Information Structure. International Joint Conference on Natural Language Processing. 1250–1256. 9 indexed citations
4.
Padró, Lluís, et al.. (2013). Finding Dependency Parsing Limits over a Large Spanish Corpus. Repositori digital de la UPF (Universitat Pompeu Fabra). 942–946. 7 indexed citations
5.
Bohnet, Bernd, Anders Björkelund, Jonas Kuhn, Wolfgang Seeker, & Sina Zarrieß. (2012). Generating Non-Projective Word Order in Statistical Linearization. Lund University Publications (Lund University). 928–939. 8 indexed citations
6.
Wanner, Leo, Simon Mille, & Bernd Bohnet. (2012). Towards a Surface Realization-Oriented Corpus Annotation. 22–30. 4 indexed citations
7.
Bohnet, Bernd & Joakim Nivre. (2012). A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing. University of Birmingham Research Portal (University of Birmingham). 1455–1465. 149 indexed citations
8.
Farkas, Richárd & Bernd Bohnet. (2012). Stacking of Dependency and Phrase Structure Parsers. International Conference on Computational Linguistics. 849–866. 6 indexed citations
9.
Seeker, Wolfgang, Richárd Farkas, Bernd Bohnet, Helmut Schmid, & Jonas Kuhn. (2012). Data-driven Dependency Parsing With Empty Heads. International Conference on Computational Linguistics. 1081–1090. 8 indexed citations
10.
Belz, Anja, Bernd Bohnet, Simon Mille, Leo Wanner, & Michael White. (2012). The Surface Realisation Task: Recent Developments and Future Plans. University of Brighton Repository (University of Brighton). 136–140. 6 indexed citations
11.
Farkas, Richárd, Bernd Bohnet, & Helmut Schmid. (2011). Features for Phrase-Structure Reranking from Dependency Parses. 209–214. 9 indexed citations
12.
Bohnet, Bernd. (2010). Top Accuracy and Fast Dependency Parsing is not a Contradiction. International Conference on Computational Linguistics. 89–97. 203 indexed citations
13.
Seeker, Wolfgang, Bernd Bohnet, Lilja Øvrelid, & Jonas Kuhn. (2010). Informed ways of improving data-driven dependency parsing for German. International Conference on Computational Linguistics. 1122–1130. 7 indexed citations
14.
Bohnet, Bernd, et al.. (2010). Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer. International Conference on Computational Linguistics. 98–106. 38 indexed citations
15.
Bohnet, Bernd. (2010). Very high accuracy and fast dependency parsing is not a contradiction. University of Birmingham Research Portal (University of Birmingham). 89–97. 167 indexed citations
16.
Bohnet, Bernd. (2008). The Fingerprint of Human Referring Expressions and their Surface Realization with Graph Transducers (IS-FP, IS-GT, IS-FP-GT)}..
17.
Bohnet, Bernd. (2007). The induction and evaluation of word order rules using corpora based on the two concepts of topological models. 1 indexed citations
18.
Bohnet, Bernd, et al.. (2004). Mapping Dependency Structures to Phrase Structures and the Automatic Acquisition of Mapping Rules. Language Resources and Evaluation. 1 indexed citations
19.
Wanner, Leo, et al.. (2003). Deriving the Communicative Structure in Applied NLG. 5 indexed citations
20.
Bohnet, Bernd, et al.. (2000). A development environment for MTT-based sentence generators: demonstration note. Procesamiento del lenguaje natural. 27–36. 1 indexed citations

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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