most citedA Baseline Analysis for Podcast Abstractive Summarization

11 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +2

In this paper, we present a denoising sequence-to-sequence (seq2seq) autoencoder via contrastive learning for abstractive text summarization. Our model adopts a standard Transforme…

cs.CV20201 cited

A Framework and Dataset for Abstract Art Generation via CalligraphyGAN

Jinggang Zhuo, Ling Fan, Harry Jiannan Wang

With the advancement of deep learning, artificial intelligence (AI) has made many breakthroughs in recent years and achieved superhuman performance in various tasks such as object…

cs.CL20206 cited

A Two-Phase Approach for Abstractive Podcast Summarization

Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +1

Podcast summarization is different from summarization of other data formats, such as news, patents, and scientific papers in that podcasts are often longer, conversational, colloqu…

cs.CL2020

Topic-Guided Abstractive Text Summarization: a Joint Learning Approach

Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang +2

We introduce a new approach for abstractive text summarization, Topic-Guided Abstractive Summarization, which calibrates long-range dependencies from topic-level features with glob…

cs.CL202011 cited

A Baseline Analysis for Podcast Abstractive Summarization

Chujie Zheng, Harry Jiannan Wang, Kunpeng Zhang +1

Podcast summary, an important factor affecting end-users' listening decisions, has often been considered a critical feature in podcast recommendation systems, as well as many downs…