Francis Ferraro

According to our database, Francis Ferraro authored at least 52 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions.

Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur

CoRR, 2024

Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification.

Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt

CoRR, 2024

High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates.

Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GPT-4 as a Moral Reasoner for Robot Command Rejection.

Ruchen Wen, Francis Ferraro, Cynthia Matuszek

Proceedings of the 12th International Conference on Human-Agent Interaction, 2024

SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events.

Sai Vallurupalli, Katrin Erk, Francis Ferraro

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study.

Ankur Padia, Francis Ferraro, Tim Finin

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities.

Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek

Trans. Mach. Learn. Res., 2023

<tt>PASTA</tt>: A Dataset for Modeling PArticipant STAtes in Narratives.

Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian

Trans. Assoc. Comput. Linguistics, 2023

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction.

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber

CoRR, 2023

Semantically-informed Hierarchical Event Modeling.

Shubhashis Roy Dipta, Mehdi Rezaee, Francis Ferraro

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Neural Bregman Divergences for Distance Learning.

Fred Lu, Edward Raff, Francis Ferraro

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SAGEViz: SchemA GEneration and Visualization.

Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RevUp: Revise and Update Information Bottleneck for Event Representation.

Mehdi Rezaee, Francis Ferraro

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

PASTA: A Dataset for Modeling Participant States in Narratives.

Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian

CoRR, 2022

Continuously Generalized Ordinal Regression for Linear and Deep Models.

Fred Lu, Francis Ferraro, Edward Raff

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A General Framework for Auditing Differentially Private Machine Learning.

Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events.

Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems.

Ankur Padia, Francis Ferraro, Tim Finin

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech.

Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Transferring Semantic Knowledge Into Language Encoders.

Mohammad Umair, Francis Ferraro

CoRR, 2021

Discriminative and Generative Transformer-based Models For Situation Entity Classification.

Mehdi Rezaee, Kasra Darvish, Gaoussou Youssouf Kebe, Francis Ferraro

CoRR, 2021

A Simulator for Human-Robot Interaction in Virtual Reality.

Mark Murnane, Padraig Higgins, Monali Saraf, Francis Ferraro, Cynthia Matuszek, Don Engel

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

Neural Variational Learning for Grounded Language Acquisition.

Nisha Pillai, Cynthia Matuszek, Francis Ferraro

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning.

Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Event Representation with Sequential, Semi-Supervised Discrete Variables.

Mehdi Rezaee, Francis Ferraro

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data.

Nisha Pillai, Cynthia Matuszek, Francis Ferraro

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment.

Ashwinkumar Ganesan, Francis Ferraro, Tim Oates

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling.

Rajat Patel, Francis Ferraro

CoRR, 2020

Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning.

Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek

CoRR, 2020

A Discrete Variational Recurrent Topic Model without the Reparametrization Trick.

Mehdi Rezaee, Francis Ferraro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Universal Decompositional Semantics Dataset and Decomp Toolkit.

Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Sampling Approach Matters: Active Learning for Robotic Language Acquisition.

Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

CASIE: Extracting Cybersecurity Event Information from Text.

Taneeya Satyapanich, Francis Ferraro, Tim Finin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Knowledge graph fact prediction via knowledge-enriched tensor factorization.

Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin

J. Web Semant., 2019

Learning from human-robot interactions in modeled scenes.

Mark Murnane, Max Breitmeyer, Francis Ferraro, Cynthia Matuszek, Don Engel

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization.

Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin

Proceedings of the Journal Track co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

Building Language-Agnostic Grounded Language Learning Systems.

Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Extracting Rich Semantic Information about Cybersecurity Events.

Taneeya Satyapanich, Tim Finin, Francis Ferraro

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

SURFACE: Semantically Rich Fact Validation with Explanations.

Ankur Padia, Francis Ferraro, Tim Finin

CoRR, 2018

UMBC at SemEval-2018 Task 8: Understanding Text about Malware.

Ankur Padia, Arpita Roy, Taneeya Satyapanich, Francis Ferraro, Shimei Pan, Youngja Park, Anupam Joshi, Tim Finin

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Team UMBC-FEVER : Claim verification using Semantic Lexical Resources.

Ankur Padia, Francis Ferraro, Tim Finin

Proceedings of the First Workshop on Fact Extraction and VERification, 2018

2017

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles.

Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

2016

Visual Storytelling.

Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

Proceedings of the NAACL HLT 2016, 2016

A Unified Bayesian Model of Scripts, Frames and Language.

Francis Ferraro, Benjamin Van Durme

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Semantic Proto-Roles.

Dee Ann Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme

Trans. Assoc. Comput. Linguistics, 2015

On Available Corpora for Empirical Methods in Vision & Language.

Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell

CoRR, 2015

A Concrete Chinese NLP Pipeline.

Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Script Induction as Language Modeling.

Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Topic Identification and Discovery on Text and Speech.

Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero, Benjamin Van Durme

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Survey of Current Datasets for Vision and Language Research.

Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2012

Judging Grammaticality with Count-Induced Tree Substitution Grammars.

Francis Ferraro, Matt Post, Benjamin Van Durme

Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

2011

Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues.

Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011