Alexander R. Fabbri
Alexander R. Fabbri
Salesforce AI Research
Verified email at - Homepage
Cited by
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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
Summeval: Re-evaluating summarization evaluation
AR Fabbri, W Kryściński, B McCann, C Xiong, R Socher, D Radev
Transactions of the Association for Computational Linguistics 9, 391-409, 2021
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 (01), 7386-7393, 2019
The role of conversation context for sarcasm detection in online interactions
D Ghosh, AR Fabbri, S Muresan
arXiv preprint arXiv:1707.06226, 2017
Sarcasm analysis using conversation context
D Ghosh, AR Fabbri, S Muresan
Computational Linguistics 44 (4), 755-792, 2018
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
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
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
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
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 (01), 6674-6681, 2019
ConvoSumm: Conversation summarization benchmark and improved abstractive summarization with argument mining
AR Fabbri, F Rahman, I Rizvi, B Wang, H Li, Y Mehdad, D Radev
arXiv preprint arXiv:2106.00829, 2021
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
Qafacteval: Improved qa-based factual consistency evaluation for summarization
AR Fabbri, CS Wu, W Liu, C Xiong
arXiv preprint arXiv:2112.08542, 2021
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
Bidimensional leaderboards: Generate and evaluate language hand in hand
J Kasai, K Sakaguchi, RL Bras, L Dunagan, J Morrison, AR Fabbri, Y Choi, ...
arXiv preprint arXiv:2112.04139, 2021
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
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation.
O Rambow, T Yu, A Radeva, AR Fabbri, C Hidey, T Peng, KR McKeown, ...
TAC, 2016
Practical guide to natural language processing for radiology
A Mozayan, AR Fabbri, M Maneevese, I Tocino, S Chheang
RadioGraphics, 2021
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
AR Fabbri, X Wu, S Iyer, H Li, M Diab
arXiv preprint arXiv:2111.06474, 2021
Investigating crowdsourcing protocols for evaluating the factual consistency of summaries
X Tang, AR Fabbri, Z Mao, G Adams, B Wang, H Li, Y Mehdad, D Radev
arXiv preprint arXiv:2109.09195, 2021
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