January 1, 2019Open Access

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

Key Points

Key points are not available for this paper at this time.

Abstract

Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Cite this study

Hu et al. (Tue,) studied this question.

www.synapsesocial.com/papers/69dcb529a5c75be4cfe538b5 — DOI: https://doi.org/10.18653/v1/d19-1488

Authors

Linmei Hu

Tianchi Yang

Chuan Shi

Actions

Institutions

Beijing University of Posts and Telecommunications

Institute for Infocomm Research

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion