Using the Annotated Bibliography as a Resource for Indicative Summarization

Min‐Yen Kan, Judith L. Klavans, Kathleen McKeown

Type: Preprint

Publication Date: 2002-01-01

Citations: 1

DOI: https://doi.org/10.48550/arxiv.cs/0206007

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Using the Annotated Bibliography as a Resource for Indicative Summarization	2002	Min‐Yen Kan Judith L. Klavans Kathleen McKeown
+	Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization	2020	Rahul Jha Keping Bi Yang Li Mahdi Pakdaman Aslı Çelikyılmaz Ivan Zhiboedov Kieran McDonald
+	Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization	2020	Rahul Jha Keping Bi Yang Li Mahdi Pakdaman Aslı Çelikyılmaz Ivan Zhiboedov Kieran McDonald
+	Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization	2020	Rahul Jha Keping Bi Yang Li Mahdi Pakdaman Aslı Çelikyılmaz Ivan Zhiboedov Kieran McDonald
+	A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding	2023	Daniel O. Cajueiro Arthur Gomes Nery Igor Castro Tavares Maísa K. De Melo Sílvia Araújo dos Reis Li Weigang Victor Rafael Rezende Celestino
+	What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research	2020	Maartje ter Hoeve Julia Kiseleva Maarten de Rijke
+ PDF Chat	What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research	2022	Maartje ter Hoeve Julia Kiseleva Maarten de Rijke
+	Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents	2021	Rui Meng Khushboo Thaker Lei Zhang Yue Dong Xingdi Yuan Tong Wang Daqing He
+	Prompting LLMs with content plans to enhance the summarization of scientific articles	2023	Aldan Creo Manuel Lama Juan C. Vidal
+ PDF Chat	SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section	2024	Leandro Carísio Fernandes Gustavo Bartz Guedes Thiago Laitz Thales Sales Almeida Rodrigo Nogueira Roberto Lotufo Jayr Pereira
+	What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization.	2020	Maartje ter Hoeve Julia Kiseleva Maarten de Rijke
+ PDF Chat	ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications	2024	Sotaro Takeshita Tommaso Green Ines Reinig Kai Eckert Simone Paolo Ponzetto
+	Applying natural language generation to indicative summarization	2001	Min‐Yen Kan Kathleen McKeown Judith L. Klavans
+	Applying Natural Language Generation to Indicative Summarization	2001	Min‐Yen Kan Kathleen McKeown Judith L. Klavans
+	Textual Summarisation of Large Sets: Towards a General Approach	2024	Kittipitch Kuptavanich Ehud Reiter Kees van Deemter Advaith Siddharthan
+	Automatic Text Summarization Methods: A Comprehensive Review	2022	Divakar Yadav Jalpa Desai Arun Kumar Yadav
+ PDF Chat	TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization	2024	Shahbaz Syed Khalid Al‐Khatib Martin Potthast
+	Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries	2020	Daniel Deutsch Dan Roth
+ PDF Chat	MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles	2022	Mohamad Yaser Jaradeh Markus Stocker Sören Auer
+	Automatic Summarization of Natural Language	2018	Marc Everett Johnson

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (1)

Action	Title	Year	Authors
+	A new statistical parser based on bigram lexical dependencies	1996	Michael Collins