Name
Abstract | ||
|---|---|---|
In this paper we propose a novel information-theoretic metric for automatic summary evaluation when model summaries are available as in the setting of the AESOP task of the Update Summarization track of the Text Analysis Conference (TAC). The metric is based on the concept of information content operationalized by using a taxonomy. Hereby, we present and discuss the results obtained at TAC 2009. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12275-0_71 | ECIR |
Keywords | Field | DocType |
text analysis,information content | Semantic similarity,Data mining,Automatic summarization,Text mining,Information retrieval,Computer science,Machine translation,n-gram,Operationalization | Conference |
Volume | ISSN | ISBN |
5993 | 0302-9743 | 3-642-12274-4 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mijail Kabadjov | 1 | 177 | 11.93 |
| josef steinberger | 2 | 355 | 26.95 |
| Ralf Steinberger | 3 | 949 | 79.70 |
| Massimo Poesio | 4 | 1869 | 170.68 |
| Bruno Pouliquen | 5 | 678 | 58.19 |