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Knowledge-based Method for Determining the Meaning of Ambiguous Biomedical Terms Using Information Content Measures of Similarity
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42 |
Testing an assumption of the E-Z Reader model of eye-movement control during reading: using event-related potentials to examine the familiarity check
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43 |
Multidocument summarization of engineering papers based on macro- and microstructure
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45 |
Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study
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47 |
On macro- and micro-level information in multiple documents and its influence on summarization
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Abstract:
A well-known challenge for multi-document summarization (MDS) is that a single best or “gold standard” summary does not exist, i.e. it is often difficult to secure a consensus among reference summaries written by different authors. It therefore motivates us to study what the “important information” is in multiple input documents that will guide different authors in writing a summary. In this paper, we propose the notions of macro- and micro-level information. Macro-level information refers to the salient topics shared among different input documents, while micro-level information consists of different sentences that act as elaborating or provide complementary details for those salient topics. Experimental studies were conducted to examine the influence of macro- and micro-level information on summarization and its evaluation. Results showed that human subjects highly relied on macro-level information when writing a summary. The length allowed for summaries is the leading factor that affects the summary agreement. Meanwhile, our summarization evaluation approach based on the proposed macro- and micro-structure information also suggested that micro-level information offered complementary details for macro-level information. We believe that both levels of information form the “important information” which affects the modeling and evaluation of automatic summarization systems.
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Keyword:
TA Engineering (General). Civil engineering (General)
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URL: https://doi.org/10.1016/j.ijinfomgt.2008.04.011 http://orca.cf.ac.uk/51002/
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48 |
Assimilation and accommodation patterns in ventral occipitotemporal cortex in learning a second writing system
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50 |
Summarizing online customer reviews automatically based on topical structure
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51 |
Block-Suffix Shifting: Fast, Simultaneous Medical Concept Set Identification in Large Medical Record Corpora
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55 |
On detecting double literal faults
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In: Faculty of Information and Communication Technologies: technical reports (Jun 2007) (2007)
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56 |
Automatic text summarization in engineering information management
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57 |
Enhancing student participation in "group discussions" within English lessons in a Chinese institution of higher education
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Liu, Ying. - : Auckland University of Technology, 2006
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58 |
Detecting double faults related to terms in Boolean expression
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In: Faculty of Information and Communication Technologies: technical reports (Nov 2006), SUTICT-TR2006.02 (2006)
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