Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41309
Title: Towards automated related work summarization
Authors: Hoang, C.D.V.
Kan, M.-Y. 
Issue Date: 2010
Source: Hoang, C.D.V., Kan, M.-Y. (2010). Towards automated related work summarization. Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference 2 : 427-435. ScholarBank@NUS Repository.
Related Datasets: 10635/137405
Abstract: We introduce the novel problem of automatic related work summarization. Given multiple articles (e.g., conference/journal papers) as input, a related work summarization system creates a topic-biased summary of related work specific to the target paper. Our prototype Related Work Summarization system, ReWoS, takes in set of keywords arranged in a hierarchical fashion that describes a target paper's topics, to drive the creation of an extractive summary using two different strategies for locating appropriate sentences for general topics as well as detailed ones. Our initial results show an improvement over generic multi-document summarization baselines in a human evaluation.
Source Title: Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/41309
Appears in Collections:Staff Publications

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