On the evaluation of tweet timeline generation task
| Author | Magdy, Walid |
| Author | Elsayed, Tamer |
| Author | Hasanain, Maram |
| Available date | 2021-09-07T06:16:19Z |
| Publication Date | 2016 |
| Publication Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Resource | Scopus |
| ISSN | 3029743 |
| Abstract | Tweet Timeline Generation (TTG) task aims to generate a timeline of relevant but novel tweets that summarizes the development of a given topic. A typical TTG system first retrieves tweets then detects novel tweets among them to form a timeline. In this paper, we examine the dependency of TTG on retrieval quality, and its effect on having biased evaluation. Our study showed a considerable dependency, however, ranking systems is not highly affected if a common retrieval run is used. Springer International Publishing Switzerland 2016. |
| Language | en |
| Publisher | Springer Verlag |
| Subject | Information retrieval Ranking system Retrieval quality Quality control |
| Type | Conference |
| Pagination | 648-653 |
| Volume Number | 9626 |
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