| Encoding social information with graph convolutional networks forpolitical perspective detection in news media C Li, D Goldwasser Proceedings of the 57th annual meeting of the association for computational …, 2019 | 186 | 2019 |
| Structured representation learning for online debate stance prediction C Li, A Porco, D Goldwasser Proceedings of the 27th international conference on computational …, 2018 | 32 | 2018 |
| Using social and linguistic information to adapt pretrained representations for political perspective identification C Li, D Goldwasser Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 27 | 2021 |
| Mean: Multi-head entity aware attention networkfor political perspective detection in news media C Li, D Goldwasser Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship …, 2021 | 12 | 2021 |
| Introducing DRAIL–a step towards declarative deep relational learning X Zhang, ML Pacheco, C Li, D Goldwasser Proceedings of the Workshop on Structured Prediction for NLP, 54-62, 2016 | 9 | 2016 |
| Purduenlp at semeval-2017 task 1: Predicting semantic textual similarity with paraphrase and event embeddings IT Lee, M Goindani, C Li, D Jin, K Johnson, X Zhang, ML Pacheco, ... Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 6 | 2017 |
| Joint embedding models for textual and social analysis C Li, YY Lai, J Neville, D Goldwasser The Workshop on Deep Structured Prediction, 2017 | 4 | 2017 |
| Better together: Combining language and social interactions into a shared representation YY Lai, C Li, D Goldwasser, J Neville Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for …, 2016 | 4 | 2016 |
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
