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2020 – today
- 2024
[j3]Mingrui Shao
, Long Min, Mengwen Liu, Xuelin Li, Jingjing liu, Xiaozhou Li:
An enhanced network model for PCB defect detection: CDS-YOLO. J. Real Time Image Process. 21(6): 196 (2024)- [c19]Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer:
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) 2024: 13773-13786 - 2023
- [c18]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) 2023: 2044-2060 - [c17]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL 2023: 2856-2872 - [i5]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. CoRR abs/2303.03278 (2023) - 2022
- [c16]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT 2022: 3238-3253 - [i4]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR abs/2204.06508 (2022) - 2021
- [c15]Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer:
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT 2021: 4768-4779 - [i3]Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer:
Transductive Learning for Abstractive News Summarization. CoRR abs/2104.09500 (2021) - [i2]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR abs/2108.02859 (2021)
2010 – 2019
- 2019
- [c14]Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks with Universe, Group, and Task Feature Learning. ACL (1) 2019: 820-830 - [i1]Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks With Universe, Group, and Task Feature Learning. CoRR abs/1907.01791 (2019) - 2018
- [c13]Haohong Wang, Yaoyuan Fu, Yang Li, Guanghan Ning, Zhihai He, Mengwen Liu:
A New TV World for Kids - When ZUI Meets Deep Learning. MIPR 2018: 124-129 - 2017
- [j2]Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu:
Which used product is more sellable? A time-aware approach. Inf. Retr. J. 20(2): 81-108 (2017) - [j1]Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu:
Product review summarization through question retrieval and diversification. Inf. Retr. J. 20(6): 575-605 (2017) - [c12]Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu:
Bacterial named entity recognition based on dictionary and conditional random field. BIBM 2017: 439-444 - [c11]Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu:
Integrating extra knowledge into word embedding models for biomedical NLP tasks. IJCNN 2017: 968-975 - 2016
- [c10]Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai:
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. CIKM 2016: 959-968 - [c9]Yi Fang, Mengwen Liu:
A Unified Energy-based Framework for Learning to Rank. ICTIR 2016: 171-180 - [c8]Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu:
Retrieving Non-Redundant Questions to Summarize a Product Review. SIGIR 2016: 385-394 - 2015
- [c7]Rui Yan, Xiang Li, Mengwen Liu, Xiaohua Hu:
Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization. ACL (2) 2015: 623-629 - [c6]Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo:
Scalable user intent mining using a multimodal Restricted Boltzmann Machine. ICNC 2015: 618-624 - [c5]Dae Hoon Park, Mengwen Liu, ChengXiang Zhai, Haohong Wang:
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval. SIGIR 2015: 533-542 - 2014
- [c4]Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu:
Relation extraction from biomedical literature with minimal supervision and grouping strategy. BIBM 2014: 444-449 - [c3]Xiaoli Song, Yue Shang, Yuan Ling, Mengwen Liu, Xiaohua Hu:
Pairwise Topic Model via relation extraction. IEEE BigData 2014: 96-103 - 2013
- [c2]Yuan Ling, Yuan An, Mengwen Liu, Xiaohua Hu:
An error detecting and tagging framework for reducing data entry errors in electronic medical records (EMR) system. BIBM 2013: 249-254 - [c1]Mengwen Liu, Yuan An, Xiaohua Hu, Debra Langer, Craig Newschaffer, Lindsay Shea:
An evaluation of identification of suspected autism spectrum disorder (ASD) cases in early intervention (EI) records. BIBM 2013: 566-571
Coauthor Index
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