| Year |
Citation |
Score |
| 2020 |
Alhelbawy A, Lattimer M, Kruschwitz U, Fox C, Poesio M. An NLP-Powered Human Rights Monitoring Platform Expert Systems With Applications. 153: 113365. DOI: 10.1016/J.Eswa.2020.113365 |
0.332 |
|
| 2018 |
Chamberlain J, Kruschwitz U, Poesio M. Optimising crowdsourcing efficiency: Amplifying human computation with validation Information Technology. 60: 41-49. DOI: 10.1515/Itit-2017-0020 |
0.305 |
|
| 2018 |
Paun S, Carpenter B, Chamberlain J, Hovy D, Kruschwitz U, Poesio M. Comparing Bayesian Models of Annotation Transactions of the Association For Computational Linguistics. 6: 571-585. DOI: 10.1162/Tacl_A_00040 |
0.351 |
|
| 2017 |
Anderson AJ, Kiela D, Clark S, Poesio M. 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. DOI: 10.1162/Tacl_A_00043 |
0.35 |
|
| 2016 |
Ginzburg J, Poesio M. Grammar Is a System That Characterizes Talk in Interaction. Frontiers in Psychology. 7: 1938. PMID 28066279 DOI: 10.3389/Fpsyg.2016.01938 |
0.383 |
|
| 2015 |
Anderson AJ, Bruni E, Lopopolo A, Poesio M, Baroni M. Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text. Neuroimage. 120: 309-322. PMID 26188260 DOI: 10.1016/J.Neuroimage.2015.06.093 |
0.32 |
|
| 2015 |
Althobaiti M, Kruschwitz U, Poesio M. Combining Minimally-supervised Methods for Arabic Named Entity Recognition Transactions of the Association For Computational Linguistics. 3: 243-255. DOI: 10.1162/Tacl_A_00136 |
0.317 |
|
| 2014 |
Anderson AJ, Murphy B, Poesio M. Discriminating taxonomic categories and domains in mental simulations of concepts of varying concreteness. Journal of Cognitive Neuroscience. 26: 658-81. PMID 24168217 DOI: 10.1162/Jocn_A_00508 |
0.349 |
|
| 2014 |
Akama H, Murphy B, Lei MM, Poesio M. Cross-participant modelling based on joint or disjoint feature selection: an fMRI conceptual decoding study Applied Informatics. 1: 1-21. DOI: 10.1186/2196-0089-1-1 |
0.315 |
|
| 2014 |
Gu Y, Poesio M, Murphy B. EEG study of the cortical representation and classification of the emotional connotations in words Bmc Neuroscience. 15: 81. DOI: 10.1186/1471-2202-15-S1-P81 |
0.333 |
|
| 2013 |
Gu Y, Cazzolli G, Murphy B, Miceli G, Poesio M. EEG study of the neural representation and classification of semantic categories of animals vs tools in young and elderly participants Bmc Neuroscience. 14: 318. DOI: 10.1186/1471-2202-14-S1-P318 |
0.306 |
|
| 2013 |
Poesio M, Chamberlain J, Kruschwitz U, Robaldo L, Ducceschi L. Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation Ksii Transactions On Internet and Information Systems. 3: 3. DOI: 10.1145/2448116.2448119 |
0.339 |
|
| 2013 |
Fornaciari T, Poesio M. Automatic deception detection in Italian court cases Artificial Intelligence and Law. 21: 303-340. DOI: 10.1007/S10506-013-9140-4 |
0.332 |
|
| 2012 |
Akama H, Murphy B, Na L, Shimizu Y, Poesio M. Decoding semantics across fMRI sessions with different stimulus modalities: a practical MVPA study. Frontiers in Neuroinformatics. 6: 24. PMID 22936912 DOI: 10.3389/Fninf.2012.00024 |
0.356 |
|
| 2011 |
Murphy B, Poesio M, Bovolo F, Bruzzone L, Dalponte M, Lakany H. EEG decoding of semantic category reveals distributed representations for single concepts Brain and Language. 117: 12-22. PMID 21300399 DOI: 10.1016/J.Bandl.2010.09.013 |
0.362 |
|
| 2010 |
Baroni M, Murphy B, Barbu E, Poesio M. Strudel: a corpus-based semantic model based on properties and types. Cognitive Science. 34: 222-54. PMID 21564211 DOI: 10.1111/J.1551-6709.2009.01068.X |
0.362 |
|
| 2009 |
Karamanis N, Poesio M, Mellish C, Oberlander J. Evaluating centering for information ordering using corpora Computational Linguistics. 35: 29-46. DOI: 10.1162/Coli.07-036-R2-06-22 |
0.341 |
|
| 2008 |
Poesio M, Artstein R. Introduction to the special issue on ambiguity and semantic judgments Research On Language and Computation. 6: 241-245. DOI: 10.1007/S11168-008-9057-3 |
0.403 |
|
| 2007 |
Steinberger J, Poesio M, Kabadjov MA, Jeek K. Two uses of anaphora resolution in summarization Information Processing and Management. 43: 1663-1680. DOI: 10.1016/J.Ipm.2007.01.010 |
0.332 |
|
| 2006 |
Poesio M, Sturt P, Artstein R, Filik R. Underspecification and anaphora: Theoretical issues and preliminary evidence Discourse Processes. 42: 157-175. DOI: 10.1207/S15326950Dp4202_4 |
0.371 |
|
| 2006 |
Poesio M, Patel A, Eugenio BD. Discourse structure and anaphora in tutorial dialogues: An empirical analysis of two theories of the global focus Research On Language and Computation. 4: 229-257. DOI: 10.1007/S11168-006-9005-Z |
0.304 |
|
| 2002 |
Garrod S, Poesio M. Plumbing semantic depths in Amsterdam. Trends in Cognitive Sciences. 6: 150-151. PMID 11912032 DOI: 10.1016/S1364-6613(02)01878-8 |
0.321 |
|
| 2002 |
Hastie HW, Poesio M, Isard S. Automatically predicting dialogue structure using prosodic features Speech Communication. 36: 63-79. DOI: 10.1016/S0167-6393(01)00026-7 |
0.348 |
|
| 2000 |
Vieira R, Poesio M. An empirically based system for processing definite descriptions Computational Linguistics. 26: 539-593. DOI: 10.1162/089120100750105948 |
0.556 |
|
| 1995 |
Allen JF, Schubert LK, Ferguson G, Heeman P, Hwang CH, Kato T, Light M, Martin N, Miller B, Poesio M, Traum DR. The TRAINS project: A case study in building a conversational planning agent Journal of Experimental and Theoretical Artificial Intelligence. 7: 7-48. DOI: 10.1080/09528139508953799 |
0.56 |
|
| Show low-probability matches. |