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Dan Friedman
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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
1332019
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
1332019
Factual probing is [MASK]: Learning vs. learning to recall
Z Zhong, D Friedman, D Chen
arXiv preprint arXiv:2104.05240, 2021
1172021
Syntax-aware neural semantic role labeling with supertags
J Kasai, D Friedman, R Frank, D Radev, O Rambow
arXiv preprint arXiv:1903.05260, 2019
332019
Single-dataset experts for multi-dataset question answering
D Friedman, B Dodge, D Chen
arXiv preprint arXiv:2109.13880, 2021
72021
Linguistically rich vector representations of supertags for TAG parsing
D Friedman, J Kasai, RT McCoy, R Frank, F Davis, O Rambow
Proceedings of the 13th International Workshop on Tree Adjoining Grammars …, 2017
42017
Finding Dataset Shortcuts with Grammar Induction
D Friedman, A Wettig, D Chen
arXiv preprint arXiv:2210.11560, 2022
2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
D Friedman, AB Dieng
arXiv preprint arXiv:2210.02410, 2022
2022
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