Benjamin Börschinger
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
Papers in
-
- Natural Language Processing Techniques 12
- Topic Modeling 6
- Speech and dialogue systems 5
- Speech Recognition and Synthesis 2
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- Phonetics and Phonology Research 2
- Co-authors
- Mark Johnson (9 shared papers)John K. Pate (2 shared papers)Lan Du (1 shared paper)Mark Steedman (2 shared papers)Massimiliano Ciaramita (2 shared papers)Zhendong Zhao (1 shared paper)Bevan Jones (1 shared paper)Tal Schuster (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Cognitive Science (1 paper)Edinburgh Research Explorer (1 paper)Empirical Methods in Natural Language Processing (1 paper)Columbia Academic Commons (Columbia University) (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Benjamin Börschinger
12 papers receiving 280 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 257
- Developmental and Educational Psychology 26
- Computer Vision and Pattern Recognition 42
- Experimental and Cognitive Psychology 17
- Management Science and Operations Research 15
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 21 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 | 193 |
| 2 | Reducing Grounded Learning Tasks To Grammatical Inference | 2011 | 26 |
| 3 | 2022 | 23 | |
| 4 | 2014 | 17 | |
| 5 | Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation | 2012 | 11 |
| 6 | A joint model of word segmentation and phonological variation for English word-final /t/-deletion | 2013 | 6 |
| 7 | 2012 | 6 | |
| 8 | Unsupervised Word Segmentation in Context | 2014 | 4 |
| 9 | Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar | 2011 | 4 |
| 10 | Modeling online word segmentation performance in structured artificial languages | 2012 | 3 |
| 11 | Implementing lexical functions in XLE | 2012 | 2 |
| 12 | Why is English so easy to segment | 2013 | 1 |
| 13 | 2015 | 1 |
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 13 papers that have together received 297 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (6 papers), Speech and dialogue systems (5 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 Expert finding and Q&A systems (1 paper). The work is most often cited by research in Artificial Intelligence (257 citations), Developmental and Educational Psychology (26 citations), Computer Vision and Pattern Recognition (42 citations), Experimental and Cognitive Psychology (17 citations) and Management Science and Operations Research (15 citations). Benjamin Börschinger has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Mark Johnson, John K. Pate, Lan Du, Mark Steedman, Massimiliano Ciaramita, Zhendong Zhao, Bevan Jones, Tal Schuster, Mark Dras and Katherine Demuth. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Cognitive Science, Edinburgh Research Explorer, 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.