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Improving Topic Segmentation by Injecting Discourse Dependencies

Improving Topic Segmentation by Injecting Discourse Dependencies

Linzi Xing
Patrick Huber
Giuseppe Carenini
ArXiv (abs)PDFHTML

Papers citing "Improving Topic Segmentation by Injecting Discourse Dependencies"

5 / 5 papers shown
Title
eRST: A Signaled Graph Theory of Discourse Relations and Organization
eRST: A Signaled Graph Theory of Discourse Relations and Organization
Amir Zeldes
Tatsuya Aoyama
Yang Liu
Siyao Peng
Debopam Das
Luke Gessler
69
4
0
20 Mar 2024
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction
Gili Lior
Yoav Goldberg
Gabriel Stanovsky
72
1
0
21 Feb 2024
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation
Linzi Xing
Quan Tran
Fabian Caba
Franck Dernoncourt
Seunghyun Yoon
Zhaowen Wang
Trung Bui
Giuseppe Carenini
104
1
0
30 Nov 2023
Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark
Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark
Feng Jiang
Weihao Liu
Xiaomin Chu
Peifeng Li
Qiaoming Zhu
Haizhou Li
68
1
0
24 May 2023
Discourse-Aware Neural Extractive Text Summarization
Discourse-Aware Neural Extractive Text Summarization
Jiacheng Xu
Zhe Gan
Yu Cheng
Jingjing Liu
BDL
158
283
0
30 Oct 2019

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