Zhengzhong Liang

Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods

John A. Bachman, M. Surdeanu, C. Morrison, 2019, Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications.

Low Resource Causal Event Detection from Biomedical Literature

Clayton T. Morrison, M. Surdeanu, C. Morrison, 2022, BIONLP.

Better Retrieval May Not Lead to Better Question Answering

Ashish Sabharwal, M. Surdeanu, Steven Bethard, 2022, ArXiv.

Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning

M. Surdeanu, Steven Bethard, Zhengzhong Liang, 2023, ArXiv.

Explainable Multi-hop Verbal Reasoning Through Internal Monologue

Mihai Surdeanu, Steven Bethard, Zhengzhong Liang, 2021, NAACL.

Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?

Mihai Surdeanu, Zhengzhong Liang, M. Surdeanu, 2020, INSIGHTS.

The impact of encoding-decoding schemes and weight normalization in spiking neural networks

Onur Ozan Koyluoglu, Gregory Ditzler, David M. Schwartz, 2018, Neural Networks.

The Impact of an Adversary in a Language Model

Gregory Ditzler, Zhengzhong Liang, Zhengzhong Liang, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks

Gregory Ditzler, Hassan M. Fathallah-Shaykh, Jiashu Guo, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).