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ORCIDSarah Wiegreffe
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2020 – today
- 2022
[b1]Sarah Wiegreffe:
Interpreting Neural Networks for and with Natural Language. Georgia Institute of Technology, Atlanta, GA, USA, 2022- [c9]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. EMNLP (Findings) 2022: 2888-2902 - [c8]Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. EMNLP (Findings) 2022: 7008-7029 - [c7]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT 2022: 632-658 - [e1]Jasmijn Bastings, Yonatan Belinkov, Yanai Elazar, Dieuwke Hupkes, Naomi Saphra, Sarah Wiegreffe:
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-05-0 [contents] - [i9]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. CoRR abs/2204.07693 (2022) - 2021
- [c6]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. EMNLP (1) 2021: 10266-10284 - [c5]Sarah Wiegreffe, Ana Marasovic:
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing. NeurIPS Datasets and Benchmarks 2021 - [i8]Sarah Wiegreffe, Ana Marasovic:
Teach Me to Explain: A Review of Datasets for Explainable NLP. CoRR abs/2102.12060 (2021) - [i7]Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. CoRR abs/2105.01311 (2021) - [i6]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. CoRR abs/2112.08674 (2021) - 2020
- [c4]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter
, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. ACL 2020: 4459-4473 - [i5]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. CoRR abs/2005.00115 (2020) - [i4]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. CoRR abs/2010.12762 (2020)
2010 – 2019
- 2019
- [c3]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL 2019: 261-272 - [c2]Sarah Wiegreffe, Yuval Pinter:
Attention is not not Explanation. EMNLP/IJCNLP (1) 2019: 11-20 - [i3]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. CoRR abs/1906.03380 (2019) - [i2]Sarah Wiegreffe, Yuval Pinter:
Attention is not not Explanation. CoRR abs/1908.04626 (2019) - 2018
- [c1]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. NAACL-HLT 2018: 1101-1111 - [i1]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. CoRR abs/1802.05695 (2018)
Coauthor Index
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last updated on 2023-03-24 00:37 CET by the dblp team
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