Allen Schmaltz

According to our database, Allen Schmaltz authored at least 10 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Approximate Conditional Coverage via Neural Model Approximations.

Allen Schmaltz, Danielle Rasooly

CoRR, 2022

2021

Detecting Local Insights from Global Labels: Supervised and Zero-Shot Sequence Labeling via a Convolutional Decomposition.

Allen Schmaltz

Comput. Linguistics, 2021

2020

Coarse-to-Fine Memory Matching for Joint Retrieval and Classification.

Allen Schmaltz, Andrew Beam

CoRR, 2020

Exemplar Auditing for Multi-Label Biomedical Text Classification.

Allen Schmaltz, Andrew Beam

CoRR, 2020

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.

Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin M. Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Toward Grammatical Error Detection from Sentence Labels: Zero-shot Sequence Labeling with CNNs and Contextualized Embeddings.

Allen Schmaltz

CoRR, 2019

2018

On the Utility of Lay Summaries and AI Safety Disclosures: Toward Robust, Open Research Oversight.

Allen Schmaltz

Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing, 2018

2017

Adapting Sequence Models for Sentence Correction.

Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Word Ordering Without Syntax.

Allen Schmaltz, Alexander M. Rush, Stuart M. Shieber

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction.

Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber

Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016