| Topic Modeling over Short Texts by Incorporating Word Embeddings J Qiang, P Chen, T Wang, X Wu arXiv preprint arXiv:1609.08496 (2016), 2016 | 136 | 2016 |
| Text Simplification Using Neural Machine Translation T Wang, P Chen, J Rochford, J Qiang Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 74 | 2016 |
| An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification T Wang, P Chen, K Amaral, J Qiang arXiv preprint arXiv:1609.03663, 2016 | 52 | 2016 |
| A semantic qa-based approach for text summarization evaluation P Chen, F Wu, T Wang, W Ding Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 46 | 2018 |
| Predicting the quality of short narratives from social media T Wang, P Chen, B Li arXiv preprint arXiv:1707.02499, 2017 | 20 | 2017 |
| Heterogeneous-length text topic modeling for reader-aware multi-document summarization J Qiang, P Chen, W Ding, T Wang, F Xie, X Wu ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (4), 1-21, 2019 | 19 | 2019 |
| Extended topic model for word dependency T Wang, V Viswanath, P Chen Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 17 | 2015 |
| Cross interaction network for natural language guided video moment retrieval X Yu, M Malmir, X He, J Chen, T Wang, Y Wu, Y Liu, Y Liu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 15 | 2021 |
| Topic discovery from heterogeneous texts J Qiang, P Chen, W Ding, T Wang, F Xie, X Wu 2016 IEEE 28th International Conference on Tools with Artificial …, 2016 | 15 | 2016 |
| Annotating high-level structures of short stories and personal anecdotes B Li, B Cardier, T Wang, F Metze arXiv preprint arXiv:1710.06917, 2017 | 12 | 2017 |
| Entity resolution in open-domain conversations M Shang, T Wang, M Eric, J Chen, J Wang, M Welch, T Deng, A Grewal, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 10 | 2021 |
| Personalized entity resolution with dynamic heterogeneous knowledge graph representations Y Lin, H Wang, J Chen, T Wang, Y Liu, H Ji, Y Liu, P Natarajan arXiv preprint arXiv:2104.02667, 2021 | 9 | 2021 |
| A new evaluation measure using compression dissimilarity on text summarization T Wang, P Chen, D Simovici Applied Intelligence, 1-8, 2016 | 8 | 2016 |
| Entity linking for short text using structured knowledge graph via multi-grained text matching B Huang, H Wang, T Wang, Y Liu, Y Liu | 7 | 2020 |
| Compression and data mining DA Simovici, P Chen, T Wang, D Pletea 2015 International Conference on Computing, Networking and Communications …, 2015 | 6 | 2015 |
| DeepMaven: Deep question answering on long-distance movie/TV show videos with multimedia knowledge extraction and synthesis Y Fung, H Wang, T Wang, A Kebarighotbi, M Bansal, H Ji, P Natarajan Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 3 | 2023 |
| Complex natural language processing H Wang, T Wang, Y Liu, AK Agrawal US Patent 11,398,226, 2022 | 2 | 2022 |
| Optimizing NLU reranking using entity resolution signals in multi-domain dialog systems T Wang, J Chen, M Malmir, S Dong, X He, H Wang, C Su, Y Liu, Y Liu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 2 | 2021 |
| Identifying the Number of Clusters in Short Text using Bayesian Nonparametric Model J Qiang, Y Li, Y Yuan, T Wang 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 1 | 2017 |
| Semantic Representation and Interpretation of Short Texts with Deep Learning T Wang University of Massachusetts Boston, 2017 | 1 | 2017 |
Ping ChenUniversity of Massachusetts Boston在 umb.edu 的电子邮件经过验证
