Kunpeng Zhang


2020

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Interpreting Twitter User Geolocation
Ting Zhong | Tianliang Wang | Fan Zhou | Goce Trajcevski | Kunpeng Zhang | Yi Yang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Identifying user geolocation in online social networks is an essential task in many location-based applications. Existing methods rely on the similarity of text and network structure, however, they suffer from a lack of interpretability on the corresponding results, which is crucial for understanding model behavior. In this work, we adopt influence functions to interpret the behavior of GNN-based models by identifying the importance of training users when predicting the locations of the testing users. This methodology helps with providing meaningful explanations on prediction results. Furthermore, it also initiates an attempt to uncover the so-called “black-box” GNN-based models by investigating the effect of individual nodes.

2015

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Reducing infrequent-token perplexity via variational corpora
Yusheng Xie | Pranjal Daga | Yu Cheng | Kunpeng Zhang | Ankit Agrawal | Alok Choudhary
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

2014

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Active Learning with Constrained Topic Model
Yi Yang | Shimei Pan | Doug Downey | Kunpeng Zhang
Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces