2 citations · 4 across the 4 of their papers we have counts for
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cs.CL2022★ 2 cited
Large-Scale Multi-Document Summarization with Information Extraction and Compression
Ning Wang, Han Liu, Diego Klabjan
We develop an abstractive summarization framework independent of labeled data for multiple heterogeneous documents. Unlike existing multi-document summarization methods, our framew…
cs.CL2021
Converse, Focus and Guess -- Towards Multi-Document Driven Dialogue
Han Liu, Caixia Yuan, Xiaojie Wang +3
We propose a novel task, Multi-Document Driven Dialogue (MD3), in which an agent can guess the target document that the user is interested in by leading a dialogue. To benchmark pr…
cs.CL2020★ 2 cited
Label-Wise Document Pre-Training for Multi-Label Text Classification
Han Liu, Caixia Yuan, Xiaojie Wang
A major challenge of multi-label text classification (MLTC) is to stimulatingly exploit possible label differences and label correlations. In this paper, we tackle this challenge b…