Facilitating email thread access by extractive summary generation

Nenkova, Ani; Bagga, Amit

doi:10.1075/cilt.260.32nen

In:Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003
Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory 260] 2004
► pp. 287–296

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Facilitating email thread access by extractive summary generation

Ani Nenkova

Amit Bagga

Published online: 30 November 2004

https://doi.org/10.1075/cilt.260.32nen

Cited by (8)

Cited by eight other publications

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2025. Transformer-Based Abstractive Summarization of Legal Texts in Low-Resource Languages. Electronics 14:12 ► pp. 2320 ff.

Dharrao, Deepak, Anupkumar M Bongale, Vikrant Kadalaskar, Utkarsh Singh & Tathagata Singharoy

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2022. Email thread sentiment sequence identification using PLSA clustering algorithm. Expert Systems with Applications 193 ► pp. 116475 ff.

Kim, Soomin, Jinsu Eun, Changhoon Oh, Bongwon Suh & Joonhwan Lee

2020. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ► pp. 1 ff.

Mauro, Massimo, Sergio Benini, Nicola Adami, Alberto Signoroni, Riccardo Leonardi & Luca Canini

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2012. A Survey of Text Summarization Techniques. In Mining Text Data, ► pp. 43 ff.

McKeown, Kathleen, Lokesh Shrestha & Owen Rambow

2007. Using Question-Answer Pairs in Extractive Summarization of Email Conversations. In Computational Linguistics and Intelligent Text Processing [Lecture Notes in Computer Science, 4394], ► pp. 542 ff.

[no author supplied]

2011. Methods for Mining and Summarizing Text Conversations [Synthesis Lectures on Data Management, ],

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