Follow
Mengwen Liu
Mengwen Liu
Verified email at drexel.edu - Homepage
Title
Cited by
Cited by
Year
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval
DH Park, M Liu, CX Zhai, H Wang
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
702015
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
R Pasunuru, M Liu, M Bansal, S Ravi, M Dreyer
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
552021
Factgraph: Evaluating factuality in summarization with semantic graph representations
LFR Ribeiro, M Liu, I Gurevych, M Dreyer, M Bansal
arXiv preprint arXiv:2204.06508, 2022
422022
Integrating extra knowledge into word embedding models for biomedical NLP tasks
Y Ling, Y An, M Liu, SA Hasan, Y Fan, X Hu
2017 International Joint Conference on Neural Networks (IJCNN), 968-975, 2017
392017
Multi-task networks with universe, group, and task feature learning
S Pentyala, M Liu, M Dreyer
arXiv preprint arXiv:1907.01791, 2019
332019
Product review summarization through question retrieval and diversification
M Liu, Y Fang, AG Choulos, DH Park, X Hu
Information Retrieval Journal 20, 575-605, 2017
322017
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text
DH Park, Y Fang, M Liu, CX Zhai
Proceedings of the 25th ACM International on Conference on Information and …, 2016
302016
Relation extraction from biomedical literature with minimal supervision and grouping strategy
M Liu, Y Ling, Y An, X Hu, A Yagoda, R Misra
2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014
232014
Bacterial named entity recognition based on dictionary and conditional random field
X Wang, X Jiang, M Liu, T He, X Hu
2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017
182017
An error detecting and tagging framework for reducing data entry errors in electronic medical records (EMR) system
Y Ling, Y An, M Liu, X Hu
2013 IEEE International Conference on Bioinformatics and Biomedicine, 249-254, 2013
172013
Faithfulness-aware decoding strategies for abstractive summarization
D Wan, M Liu, K McKeown, M Dreyer, M Bansal
arXiv preprint arXiv:2303.03278, 2023
162023
An evaluation of identification of suspected autism spectrum disorder (ASD) cases in early intervention (EI) records
M Liu, Y An, X Hu, D Langer, C Newschaffer, L Shea
2013 IEEE International Conference on Bioinformatics and Biomedicine, 566-571, 2013
162013
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
M Dreyer, M Liu, F Nan, S Atluri, S Ravi
arXiv preprint arXiv:2108.02859, 2021
132021
Evaluating the tradeoff between abstractiveness and factuality in abstractive summarization
M Dreyer, M Liu, F Nan, S Atluri, S Ravi
Findings of the Association for Computational Linguistics: EACL 2023, 2044-2060, 2023
112023
Method and system for multimodal clue based personalized app function recommendation
M Liu, Y Shang, L Guo, H Wang
US Patent 9,864,803, 2018
82018
Method and system for App page recommendation via inference of implicit intent in a user query
DH Park, M Liu
US Patent 10,210,201, 2019
72019
Retrieving Non-Redundant Questions to Summarize a Product Review
M Liu, Y Fang, DH Park, X Hu, Z Yu
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
52016
A New TV World for Kids-When ZUI Meets Deep Learning
H Wang, Y Fu, Y Li, G Ning, Z He, M Liu
2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018
42018
Scalable user intent mining using a multimodal restricted boltzmann machine
Y Shang, L Guo, W Ding, X Song, M Liu, H Wang
US Patent 9,910,930, 2018
42018
Tackling sparsity, the achilles heel of social networks: language model smoothing via social regularization
R Yan, X Li, M Liu, X Hu
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
42015
The system can't perform the operation now. Try again later.
Articles 1–20