Search Results for author: Lidan Wang

Found 8 papers, 4 papers with code

Learning to Fuse Sentences with Transformers for Summarization

1 code implementation EMNLP 2020 Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu

The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts.

Sentence Sentence Fusion

Open-Domain Question Answering with Pre-Constructed Question Spaces

no code implementations NAACL 2021 Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han

Our reader-retriever first uses an offline reader to read the corpus and generate collections of all answerable questions associated with their answers, and then uses an online retriever to respond to user queries by searching the pre-constructed question spaces for answers that are most likely to be asked in the given way.

Information Retrieval Knowledge Graphs +2

High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks

1 code implementation27 Oct 2017 Lidan Wang, Vishwanath A. Sindagi, Vishal M. Patel

To this end, we propose a novel synthesis framework called Photo-Sketch Synthesis using Multi-Adversarial Networks, (PS2-MAN) that iteratively generates low resolution to high resolution images in an adversarial way.

Face Sketch Synthesis Image Quality Assessment +3

FastHybrid: A Hybrid Model for Efficient Answer Selection

no code implementations COLING 2016 Lidan Wang, Ming Tan, Jiawei Han

In this paper, we propose an extremely efficient hybrid model (FastHybrid) that tackles the problem from both an accuracy and scalability point of view.

Answer Selection Information Retrieval +2

Applying Deep Learning to Answer Selection: A Study and An Open Task

2 code implementations7 Aug 2015 Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bo-Wen Zhou

We apply a general deep learning framework to address the non-factoid question answering task.

Answer Selection

Cannot find the paper you are looking for? You can Submit a new open access paper.