| WikiNet: A Very Large Scale Multi-Lingual Concept Network. V Nastase, M Strube, B Boerschinger, C Zirn, A Elghafari LREC, 2010 | 148 | 2010 |
| A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 122 | 2013 |
| A Particle Filter algorithm for Bayesian Wordsegmentation B Börschinger, M Johnson Proceedings of the Australasian Language Technology Association Workshop, 10-18, 2011 | 69 | 2011 |
| Tomayto, tomahto. beyond token-level answer equivalence for question answering evaluation J Bulian, C Buck, W Gajewski, B Boerschinger, T Schuster arXiv preprint arXiv:2202.07654, 2022 | 56 | 2022 |
| Reducing grounded learning tasks to grammatical inference B Börschinger, B Jones, M Johnson Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 48 | 2011 |
| Why is english so easy to segment? A Fourtassi, B Börschinger, M Johnson, E Dupoux Proceedings of the fourth annual workshop on cognitive modeling and …, 2013 | 41 | 2013 |
| Fool me twice: Entailment from wikipedia gamification JM Eisenschlos, B Dhingra, J Bulian, B Börschinger, J Boyd-Graber arXiv preprint arXiv:2104.04725, 2021 | 39 | 2021 |
| What question answering can learn from trivia nerds J Boyd-Graber, B Börschinger arXiv preprint arXiv:1910.14464, 2019 | 39 | 2019 |
| Boosting search engines with interactive agents L Adolphs, B Boerschinger, C Buck, MC Huebscher, M Ciaramita, ... arXiv preprint arXiv:2109.00527, 2021 | 25 | 2021 |
| Exploring the role of stress in Bayesian word segmentation using adaptor grammars B Börschinger, M Johnson Transactions of the Association for Computational Linguistics 2, 93-104, 2014 | 21 | 2014 |
| Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar F Lareau, M Dras, B Börschinger, R Dale | 20* | |
| Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation B Börschinger, M Johnson | 18 | 2012 |
| Complex Predicates in Arrernte M Dras, F Lareau, B Börschinger, R Dale, Y Motazedi, O Rambow, ... | 16* | |
| A joint model of word segmentation and phonological variation for English word-final/t/-deletion B Börschinger, M Johnson, K Demuth Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 12 | 2013 |
| Studying the effect of input size for Bayesian word segmentation on the Providence corpus B Börschinger, K Demuth, M Johnson Proceedings of COLING 2012, 325-340, 2012 | 11 | 2012 |
| Implementing lexical functions in XLE F Lareau, M Dras, B Börschinger, M Turpin, M Butt, TH King Proceedings of LFG12, 362-382, 2012 | 11 | 2012 |
| Unsupervised word segmentation in context G Synnaeve, I Dautriche, B Borschinger, M Johnson, E Dupoux 25th International Conference on Computational Linguistics, COLING 2014 …, 2014 | 8 | 2014 |
| Modeling online word segmentation performance in structured artificial languages S Meylan, C Kurumuda, M Frank, B Borschinger, M Johnson Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012 | 8 | 2012 |
| Boosting search engines with interactive agents B Boerschinger, CCF Buck, LJG Espeholt, L Adolphs, LS Saralegui, ... Transactions on Machine Learning Research, 2022 | 1 | 2022 |
| A computationally efficient algorithm for learning topical collocation models Z Zhao, L Du, B Börschinger, JK Pate, M Ciaramita, M Steedman, ... Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 1 | 2015 |
Mark JohnsonProfessor of Language Sciences, School of Computing, Macquarie UniversityE-mail confirmado em MQ.edu.au