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2020 – today
- 2024
[c37]Ankur Padia, Francis Ferraro, Tim Finin:
Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study. AAAI Spring Symposia 2024: 203-208- [c36]Sai Vallurupalli, Katrin Erk, Francis Ferraro:
SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events. ACL (Findings) 2024: 15396-15420 - [c35]Fred Lu
, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt:
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. KDD 2024: 2037-2047 - [e1]Yang (Trista) Cao, Isabel Papadimitriou, Anaelia Ovalle, Marcos Zampieri, Francis Ferraro, Swabha Swayamdipta:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL 2024, Mexico City, Mexico, June 18, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-117-9 [contents] - [i28]Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt:
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. CoRR abs/2406.01753 (2024) - [i27]Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur:
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. CoRR abs/2406.12058 (2024) - [i26]Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt:
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. CoRR abs/2407.06346 (2024) - [i25]Sai Vallurupalli, Katrin Erk, Francis Ferraro:
SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events. CoRR abs/2408.05793 (2024) - 2023
- [j4]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. Trans. Assoc. Comput. Linguistics 11: 1283-1300 (2023) - [j3]Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities. Trans. Mach. Learn. Res. 2023 (2023) - [c34]Mehdi Rezaee, Francis Ferraro:
RevUp: Revise and Update Information Bottleneck for Event Representation. EACL 2023: 797-814 - [c33]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:
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 2023: 328-335 - [c32]Fred Lu, Edward Raff, Francis Ferraro:
Neural Bregman Divergences for Distance Learning. ICLR 2023 - [c31]Shubhashis Roy Dipta, Mehdi Rezaee, Francis Ferraro:
Semantically-informed Hierarchical Event Modeling. *SEM@ACL 2023: 353-369 - [i24]Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber:
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. CoRR abs/2305.14659 (2023) - 2022
- [c30]Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. AAAI 2022: 10884-10893 - [c29]Ankur Padia, Francis Ferraro, Tim Finin:
Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems. DeeLIO@ACL 2022: 42-52 - [c28]Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro:
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. EMNLP 2022: 8674-8697 - [c27]Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa:
A General Framework for Auditing Differentially Private Machine Learning. NeurIPS 2022 - [c26]Fred Lu, Francis Ferraro, Edward Raff:
Continuously Generalized Ordinal Regression for Linear and Deep Models. SDM 2022: 28-36 - [i23]Fred Lu, Francis Ferraro, Edward Raff:
Continuously Generalized Ordinal Regression for Linear and Deep Models. CoRR abs/2202.07005 (2022) - [i22]Mehdi Rezaee, Francis Ferraro:
RevUp: Revise and Update Information Bottleneck for Event Representation. CoRR abs/2205.12248 (2022) - [i21]Fred Lu, Edward Raff, Francis Ferraro:
Neural Bregman Divergences for Distance Learning. CoRR abs/2206.04763 (2022) - [i20]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling Participant States in Narratives. CoRR abs/2208.00329 (2022) - [i19]Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa:
A General Framework for Auditing Differentially Private Machine Learning. CoRR abs/2210.08643 (2022) - [i18]Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro:
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. CoRR abs/2212.02629 (2022) - [i17]Shubhashis Roy Dipta, Mehdi Rezaee, Francis Ferraro:
Semantically-informed Hierarchical Event Modeling. CoRR abs/2212.10547 (2022) - 2021
- [c25]Ashwinkumar Ganesan, Francis Ferraro, Tim Oates:
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. ACL/IJCNLP (Findings) 2021: 3132-3139 - [c24]Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. FLAIRS 2021 - [c23]Mehdi Rezaee, Francis Ferraro:
Event Representation with Sequential, Semi-Supervised Discrete Variables. NAACL-HLT 2021: 4701-4716 - [c22]Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek:
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks 2021 - [c21]Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Neural Variational Learning for Grounded Language Acquisition. RO-MAN 2021: 633-640 - [c20]Mark Murnane, Padraig Higgins, Monali Saraf, Francis Ferraro, Cynthia Matuszek, Don Engel:
A Simulator for Human-Robot Interaction in Virtual Reality. VR Workshops 2021: 470-471 - [i16]Ashwinkumar Ganesan, Francis Ferraro, Tim Oates:
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. CoRR abs/2107.00124 (2021) - [i15]Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Neural Variational Learning for Grounded Language Acquisition. CoRR abs/2107.14593 (2021) - [i14]Mehdi Rezaee, Kasra Darvish, Gaoussou Youssouf Kebe, Francis Ferraro:
Discriminative and Generative Transformer-based Models For Situation Entity Classification. CoRR abs/2109.07434 (2021) - [i13]Mohammad Umair, Francis Ferraro:
Transferring Semantic Knowledge Into Language Encoders. CoRR abs/2110.07382 (2021) - [i12]Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. CoRR abs/2112.13758 (2021) - 2020
- [c19]Taneeya Satyapanich, Francis Ferraro, Tim Finin:
CASIE: Extracting Cybersecurity Event Information from Text. AAAI 2020: 8749-8757 - [c18]Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. IEEE BigData 2020: 5191-5200 - [c17]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:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC 2020: 5698-5707 - [c16]Mehdi Rezaee, Francis Ferraro:
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick. NeurIPS 2020 - [i11]Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek:
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR abs/2007.14987 (2020) - [i10]Mehdi Rezaee, Francis Ferraro:
Event Representation with Sequential, Semi-Supervised Discrete Variables. CoRR abs/2010.04361 (2020) - [i9]Rajat Patel, Francis Ferraro:
On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling. CoRR abs/2010.05732 (2020) - [i8]Mehdi Rezaee, Francis Ferraro:
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick. CoRR abs/2010.12055 (2020) - [i7]Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. CoRR abs/2011.08021 (2020)
2010 – 2019
- 2019
- [j2]Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin:
Knowledge graph fact prediction via knowledge-enriched tensor factorization. J. Web Semant. 59 (2019) - [c15]Taneeya Satyapanich, Tim Finin, Francis Ferraro:
Extracting Rich Semantic Information about Cybersecurity Events. IEEE BigData 2019: 5034-5042 - [c14]Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Building Language-Agnostic Grounded Language Learning Systems. RO-MAN 2019: 1-7 - [c13]Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin:
Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization. JT@ISWC 2019 - [c12]Mark Murnane, Max Breitmeyer, Francis Ferraro, Cynthia Matuszek, Don Engel:
Learning from human-robot interactions in modeled scenes. SIGGRAPH Posters 2019: 1:1-1:2 - [i6]Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin:
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization. CoRR abs/1902.03077 (2019) - [i5]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:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR abs/1909.13851 (2019) - 2018
- [c11]Ankur Padia, Francis Ferraro, Tim Finin:
Team UMBC-FEVER : Claim verification using Semantic Lexical Resources. FEVER@EMNLP 2018: 161-165 - [c10]Ankur Padia, Arpita Roy, Taneeya Satyapanich, Francis Ferraro, Shimei Pan, Youngja Park, Anupam Joshi, Tim Finin:
UMBC at SemEval-2018 Task 8: Understanding Text about Malware. SemEval@NAACL-HLT 2018: 878-884 - [i4]Ankur Padia, Francis Ferraro, Tim Finin:
SURFACE: Semantically Rich Fact Validation with Explanations. CoRR abs/1810.13223 (2018) - 2017
- [c9]Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme:
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. *SEM 2017: 97-103 - [i3]Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme:
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. CoRR abs/1706.09562 (2017) - 2016
- [c8]Francis Ferraro, Benjamin Van Durme:
A Unified Bayesian Model of Scripts, Frames and Language. AAAI 2016: 2601-2607 - [c7]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:
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [i2]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:
Visual Storytelling. CoRR abs/1604.03968 (2016) - 2015
- [j1]Dee Ann Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme:
Semantic Proto-Roles. Trans. Assoc. Comput. Linguistics 3: 475-488 (2015) - [c6]Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell:
A Survey of Current Datasets for Vision and Language Research. EMNLP 2015: 207-213 - [c5]Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme:
Script Induction as Language Modeling. EMNLP 2015: 1681-1686 - [c4]Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero, Benjamin Van Durme:
Topic Identification and Discovery on Text and Speech. EMNLP 2015: 2377-2387 - [c3]Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze:
A Concrete Chinese NLP Pipeline. HLT-NAACL 2015: 86-90 - [i1]Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell:
On Available Corpora for Empirical Methods in Vision & Language. CoRR abs/1506.06833 (2015) - 2012
- [c2]Francis Ferraro, Matt Post, Benjamin Van Durme:
Judging Grammaticality with Count-Induced Tree Substitution Grammars. BEA@NAACL-HLT 2012: 116-121 - 2011
- [c1]Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann:
Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues. ICCV Workshops 2011: 1554-1561
Coauthor Index
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last updated on 2024-09-26 01:57 CEST by the dblp team
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