Benjamin Börschinger

595 citations
14 papers · 327 · h-index 7

Impact in

Papers in

Benjamin Börschinger

13 papers receiving 310 citations

Peers

Benjamin Börschinger
Comparison fields: 5 of 52
  • Artificial Intelligence 281
  • Developmental and Educational Psychology 28
  • Computer Vision and Pattern Recognition 46
  • Experimental and Cognitive Psychology 20
  • Language and Linguistics 17
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Kilian Evang Netherlands
Joakim Nivre Sweden
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Ruiji Fu China
Johannes Bjerva Denmark
Omri Abend Israel
John K. Pate Australia
Oi Yee Kwong Hong Kong
Alexis Palmer Germany
E.F. Tjong Kim Sang Netherlands
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Citations per year

Countries citing papers authored by Benjamin Börschinger

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Börschinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Benjamin Börschinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Börschinger Line = papers co-authored together Benjamin Börschinger links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing
2015208
2
Reducing Grounded Learning Tasks To Grammatical Inference
201127
3 202225
4 201417
5
Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation
201211
6 20128
7
Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar
20117
8
A joint model of word segmentation and phonological variation for English word-final /t/-deletion
20136
9
Studying the Effect of Input Size for Bayesian Word Segmentation on the Providence Corpus
20126
10
Unsupervised Word Segmentation in Context
20145
11
Modeling online word segmentation performance in structured artificial languages
20123
12
Implementing lexical functions in XLE
20122
13 20151
14
Why is English so easy to segment
20131

About Benjamin Börschinger

Benjamin Börschinger is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, Developmental and Educational Psychology and Information Systems, having authored 14 papers that have together received 327 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (7 papers), Speech and dialogue systems (6 papers), Language Development and Disorders (2 papers), Syntax, Semantics, Linguistic Variation (2 papers), Phonetics and Phonology Research (2 papers), Speech Recognition and Synthesis (2 papers) and Language, Metaphor, and Cognition (1 paper). The work is most often cited by research in Artificial Intelligence (281 citations), Developmental and Educational Psychology (28 citations), Computer Vision and Pattern Recognition (46 citations), Experimental and Cognitive Psychology (20 citations) and Language and Linguistics (17 citations). Benjamin Börschinger has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Mark Johnson, Lan Du, John K. Pate, Zhendong Zhao, Mark Steedman, Massimiliano Ciaramita, Bevan Jones, Tal Schuster, Katherine Demuth and Mark Dras. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Cognitive Science, International Conference on Computational Linguistics, Empirical Methods in Natural Language Processing and Columbia Academic Commons (Columbia University).

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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