Name
Abstract | ||
|---|---|---|
The main focus of this work is to investigate robust ways for generating summaries from summary representations without recurring to simple sentence extraction and aiming at more human-like summaries. This is motivated by empirical evidence from TAC 2009 data showing that human summaries contain on average more and shorter sentences than the system summaries. We report encouraging preliminary results comparable to those attained by participating systems at TAC 2009. |
Year | Venue | Keywords |
|---|---|---|
2010 | ACL (Short Papers) | human-like summary,summary representation,main focus,robust way,system summary,preliminary result,simple sentence extraction,human summary,shorter sentence,empirical evidence |
Field | DocType | Volume |
Information retrieval,Empirical evidence,Computer science,Artificial intelligence,Natural language processing,Sentence extraction | Conference | P10-2 |
Citations | PageRank | References |
3 | 0.39 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| josef steinberger | 1 | 355 | 26.95 |
| Marco Turchi | 2 | 560 | 57.79 |
| Mijail Kabadjov | 3 | 177 | 11.93 |
| Ralf Steinberger | 4 | 949 | 79.70 |
| Nello Cristianini | 5 | 11074 | 1239.05 |