Mengwen Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Social Networks

Graph Representation

Relation Extraction

Top Venues

Publications

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)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) (2023)
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL (2023)
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. CoRR (2023)
Leonardo Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT (2022)
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR (2022)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR (2021)
Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer
Transductive Learning for Abstractive News Summarization. CoRR (2021)
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT (2021)
Shiva Pentyala, Mengwen Liu, Markus Dreyer
Multi-Task Networks With Universe, Group, and Task Feature Learning. CoRR (2019)
Shiva Pentyala, Mengwen Liu, Markus Dreyer
Multi-Task Networks with Universe, Group, and Task Feature Learning. ACL (1) (2019)
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)
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) (2017)
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) (2017)
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)
Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu
Bacterial named entity recognition based on dictionary and conditional random field. BIBM (2017)
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)
Yi Fang, Mengwen Liu
A Unified Energy-based Framework for Learning to Rank. ICTIR (2016)
Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu
Retrieving Non-Redundant Questions to Summarize a Product Review. SIGIR (2016)
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)
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)
Dae Hoon Park, Mengwen Liu, ChengXiang Zhai, Haohong Wang
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval. SIGIR (2015)
Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu
Relation extraction from biomedical literature with minimal supervision and grouping strategy. BIBM (2014)
Xiaoli Song, Yue Shang, Yuan Ling, Mengwen Liu, Xiaohua Hu
Pairwise Topic Model via relation extraction. IEEE BigData (2014)
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)
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)