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Saggion, H. and Lapalme, G. 2000. Concept Identification and Presentation in the Context of Technical Text Summarization. Proceedings pp. 1-10.

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Summarization Evaluation: An Overview - Mani (2001)   (2 citations)  (Correct)

....of preservation of the integrity of structured environments like lists or tables, choppiness of the text, presence of tautologous statements such as Predicting the future is difficult , etc. Abstracts, like extracts, can also be incoherent, especially when natural language generation is used. [33] had judges grade the acceptability of abstracts produced by cut and paste operations on the source text, based on general readability criteria such as: good spelling and grammar, clear indication of the topic of the source document, impersonal style, conciseness, readability and ....

....answer) for any given question. Based on this, the authors discovered an informativeness ratio of accuracy to compression of about 1.5. A somewhat shallower approach, which does not require marking up each document by hand, is to rely on keywords associated with the source. In the evaluation by [33], judges were presented with their system s generated abstracts and 5 lists of keywords, each list being obtained from keywords provided with the source article in the publication journal. The judge had to associate the right list of keywords with the abstract. Since the keywords were indicative ....

Saggion, H. and Lapalme, G. 2000. Concept Identification and Presentation in the Context of Technical Text Summarization. Proceedings pp. 1-10.


Temporal Summaries of News Topics - Allan, Gupta, Khandelwal (2001)   (14 citations)  (Correct)

....in the stead of the original. For example, is it possible to use a summary to categorize a document or to determine whether it is relevant to a query [11, 30] Can a reader correctly answer a reading comprehension test using the summary [26] Can a reader assign the correct keywords to a summary [36] . Compare agreement between sentences selected by humans and sentences selected by computer [35, 13] or compare agreement in the ranks of sentences that a system generates [9] The first evaluation is not actually an evaluation, though it is useful for giving a sense of a summarizer s ....

H. Saggion and G. Lapalme. Concept identification and presentation in the context of technical text summarization. In Hahn et al. [15], pages 1--10.

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