Alexander R. Fabbri
Alexander R. Fabbri
PhD candidate in Computer Science, Yale University
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
AR Fabbri, I Li, T She, S Li, DR Radev
arXiv preprint arXiv:1906.01749, 2019
632019
Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks
M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev
Proceedings of the AAAI Conference on Artificial Intelligence 33, 7386-7393, 2019
462019
The Role of Conversation Context for Sarcasm Detection in Online Interactions
D Ghosh, AR Fabbri, S Muresan
arXiv preprint arXiv:1707.06226, 2017
342017
Sarcasm Analysis Using Conversation Context
D Ghosh, AR Fabbri, S Muresan
Computational Linguistics 44 (4), 755-792, 2018
292018
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation
AR Fabbri, I Li, P Trairatvorakul, Y He, WT Ting, R Tung, C Westerfield, ...
arXiv preprint arXiv:1805.04617, 2018
242018
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
I Li, AR Fabbri, RR Tung, DR Radev
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6674-6681, 2019
112019
SummEval: Re-evaluating Summarization Evaluation
AR Fabbri, W Kryściński, B McCann, C Xiong, R Socher, D Radev
arXiv preprint arXiv:2007.12626, 2020
102020
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ...
arXiv preprint arXiv:1909.05378, 2019
102019
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
AR Fabbri, P Ng, Z Wang, R Nallapati, B Xiang
arXiv preprint arXiv:2004.11892, 2020
82020
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
Y Lee, Y Choi, J Cho, AR Fabbri, H Loh, C Hwang, Y Lee, SW Kim, ...
arXiv preprint arXiv:1906.10910, 2019
72019
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
R Zhang, C Westerfield, S Shim, G Bingham, A Fabbri, N Verma, W Hu, ...
arXiv preprint arXiv:1906.03492, 2019
62019
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation
O Rambow, T Yu, A Radeva, S Hamidian, A Fabbri, D Ghosh, C Hidey, ...
Proceedings of the 2016 NIST TAC KBP Workshop, 2016
62016
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
I Li, A Fabbri, S Hingmire, D Radev
arXiv preprint arXiv:2004.10610, 2020
22020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
AR Fabbri, S Han, H Li, H Li, M Ghazvininejad, S Joty, D Radev, ...
arXiv preprint arXiv:2010.12836, 2020
12020
AAN: Developing Educational Tools for Work Force Training
AR Fabbri, I Li, S Hingmire, D Radev
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