F
Francis Ferraro
Researcher at University of Maryland, Baltimore County
Publications - 59
Citations - 996
Francis Ferraro is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Computer science & Embedding. The author has an hindex of 10, co-authored 56 publications receiving 754 citations. Previous affiliations of Francis Ferraro include Johns Hopkins University & Microsoft.
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Visual Storytelling
Ting-Hao,Huang,Francis Ferraro,Nasrin Mostafazadeh,Ishan Misra,Aishwarya Agrawal,Jacob Devlin,Ross Girshick,Xiaodong He,Pushmeet Kohli,Dhruv Batra,C. Lawrence Zitnick,Devi Parikh,Lucy Vanderwende,Michel Galley,Margaret Mitchell +15 more
TL;DR: Modelling concrete description as well as figurative and social language, as provided in this dataset and the storytelling task, has the potential to move artificial intelligence from basic understandings of typical visual scenes towards more and more human-like understanding of grounded event structure and subjective expression.
Proceedings ArticleDOI
Visual Storytelling
Ting-Hao Kenneth Huang,Francis Ferraro,Nasrin Mostafazadeh,Ishan Misra,Aishwarya Agrawal,Jacob Devlin,Ross Girshick,Xiaodong He,Pushmeet Kohli,Dhruv Batra,C. Lawrence Zitnick,Devi Parikh,Lucy Vanderwende,Michel Galley,Margaret Mitchell +14 more
TL;DR: Modelling concrete description as well as figurative and social language, as provided in this dataset and the storytelling task, has the potential to move artificial intelligence from basic understandings of typical visual scenes towards more and more human-like understanding of grounded event structure and subjective expression.
Proceedings ArticleDOI
Script Induction as Language Modeling
TL;DR: It is argued that the narrative cloze can be productively reframed as a language modeling task and by training a discriminative language model for this task, improvements of up to 27 percent over prior methods on standard narrative clozes metrics are attained.
Journal ArticleDOI
Semantic Proto-Roles
TL;DR: The first large-scale, corpus based verification of Dowty’s seminal theory of proto-roles is presented, demonstrating both the need for and the feasibility of a property-based annotation scheme of semantic relationships.
Proceedings ArticleDOI
A Survey of Current Datasets for Vision and Language Research
Francis Ferraro,Nasrin Mostafazadeh,Ting-Hao Huang,Lucy Vanderwende,Jacob Devlin,Michel Galley,Margaret Mitchell +6 more
TL;DR: In this article, the authors propose a set of quality metrics for evaluating and analyzing the vision and language datasets and categorize them accordingly. And they show that most recent datasets have been using more complex language and more abstract concepts, however, there are different strengths and weaknesses in each.