Benjamin Börschinger
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
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- Language Development and Disorders
Papers in
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- Natural Language Processing Techniques 13
- Topic Modeling 5
- Speech Recognition and Synthesis 3
- Semantic Web and Ontologies 2
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- Language Development and Disorders 3
- Reading and Literacy Development 2
- Co-authors
- Mark S. Johnson (11 shared papers)John K. Pate (2 shared papers)Mark J. Steedman (2 shared papers)Massimiliano Ciaramita (3 shared papers)Zhendong Zhao (1 shared paper)Vivi Năstase (1 shared paper)Michael Strube (1 shared paper)Jordan Lee Boyd-Graber (2 shared papers)
- Journals
- Language Resources and Evaluation (1 paper)Cognitive Science (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Benjamin Börschinger
20 papers receiving 510 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 401
- Developmental and Educational Psychology 42
- Experimental and Cognitive Psychology 26
- Computer Vision and Pattern Recognition 30
- Information Systems 32
Countries citing papers authored by Benjamin Börschinger
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
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 25 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing | 2015 | 215 |
| 2 | 2013 | 80 | |
| 3 | 2010 | 71 | |
| 4 | 2022 | 29 | |
| 5 | Reducing Grounded Learning Tasks To Grammatical Inference | 2011 | 28 |
| 6 | 2020 | 21 | |
| 7 | 2014 | 18 | |
| 8 | 2021 | 16 | |
| 9 | Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation | 2012 | 11 |
| 10 | 2012 | 9 | |
| 11 | Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar | 2011 | 7 |
| 12 | Studying the Effect of Input Size for Bayesian Word Segmentation on the Providence Corpus | 2012 | 6 |
| 13 | A joint model of word segmentation and phonological variation for English word-final /t/-deletion | 2013 | 6 |
| 14 | Unsupervised Word Segmentation in Context | 2014 | 5 |
| 15 | 2013 | 4 | |
| 16 | Modeling online word segmentation performance in structured artificial languages | 2012 | 3 |
| 17 | Implementing lexical functions in XLE | 2012 | 3 |
| 18 | Why is English so easy to segment | 2013 | 2 |
| 19 | 2021 | 2 | |
| 20 | 2015 | 1 |
About Benjamin Börschinger
Benjamin Börschinger is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Language and Linguistics and Information Systems, having authored 20 papers that have together received 537 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (5 papers), Speech Recognition and Synthesis (3 papers), Language Development and Disorders (3 papers), Reading and Literacy Development (2 papers), Syntax, Semantics, Linguistic Variation (2 papers), Semantic Web and Ontologies (2 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Artificial Intelligence (401 citations), Developmental and Educational Psychology (42 citations), Experimental and Cognitive Psychology (26 citations), Computer Vision and Pattern Recognition (30 citations) and Information Systems (32 citations). Benjamin Börschinger has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Mark S. Johnson, John K. Pate, Mark J. Steedman, Massimiliano Ciaramita, Zhendong Zhao, Vivi Năstase, Michael Strube, Jordan Lee Boyd-Graber, Jannis Bulian and Bevan Jones. Their work appears in journals such as Language Resources and Evaluation, Cognitive Science, Transactions of the Association for Computational Linguistics, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) and Edinburgh Research Explorer (University of Edinburgh).
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.