Massimo Poesio, Ph.D.
Affiliations: | School of Computing and Electronic Engineering | University of Essex, Colchester, England, United Kingdom | |
| 2017- | School of Electronic Engineering and Computer Science | Queen Mary University, London |
Area:
Computational linguistics, definite descriptions, anaphora, formal semanticsWebsite:
http://cswww.essex.ac.uk/poesio/Google:
"https://scholar.google.com.br/citations?user=89aa1X0AAAAJ&hl=pt-PT"
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Publications
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| Alhelbawy A, Lattimer M, Kruschwitz U, et al. (2020) An NLP-Powered Human Rights Monitoring Platform Expert Systems With Applications. 153: 113365 |
| Chamberlain J, Kruschwitz U, Poesio M. (2018) Optimising crowdsourcing efficiency: Amplifying human computation with validation Information Technology. 60: 41-49 |
| Paun S, Carpenter B, Chamberlain J, et al. (2018) Comparing Bayesian Models of Annotation Transactions of the Association For Computational Linguistics. 6: 571-585 |
| Anderson AJ, Kiela D, Clark S, et al. (2017) Visually grounded and textual semantic models differentially decode brain activity associated with concrete and abstract nouns Transactions of the Association For Computational Linguistics. 5: 17-30 |
| Ginzburg J, Poesio M. (2016) Grammar Is a System That Characterizes Talk in Interaction. Frontiers in Psychology. 7: 1938 |
| Anderson AJ, Bruni E, Lopopolo A, et al. (2015) Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text. Neuroimage. 120: 309-322 |
| Althobaiti M, Kruschwitz U, Poesio M. (2015) Combining Minimally-supervised Methods for Arabic Named Entity Recognition Transactions of the Association For Computational Linguistics. 3: 243-255 |
| Anderson AJ, Murphy B, Poesio M. (2014) Discriminating taxonomic categories and domains in mental simulations of concepts of varying concreteness. Journal of Cognitive Neuroscience. 26: 658-81 |
| Akama H, Murphy B, Lei MM, et al. (2014) Cross-participant modelling based on joint or disjoint feature selection: an fMRI conceptual decoding study Applied Informatics. 1: 1-21 |
| Gu Y, Poesio M, Murphy B. (2014) EEG study of the cortical representation and classification of the emotional connotations in words Bmc Neuroscience. 15: 81 |