Name
Abstract | ||
|---|---|---|
This paper describes some preliminary results obtained by treating the tweet contextualization task as a passage retrieval task. Each tweet was submitted as a query to the Indri 5.2 search engine after some preprocessing. Either paragraphs or sentences were retrieved in response to a query. Passages retrieved from the same document were concatenated. This approach does not work very well in terms of informativeness: the best of our runs was ranked 23rd out of 33 runs. Further exploration of ways to improve effectiveness is needed. |
Year | Venue | Field |
|---|---|---|
2012 | CLEF (Online Working Notes/Labs/Workshop) | Indri,Search engine,Ranking,Information retrieval,Computer science,Preprocessor,Contextualization |
DocType | Citations | PageRank |
Conference | 2 | 0.37 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayan Bandyopadhyay | 1 | 54 | 5.13 |
| Sukomal Pal | 2 | 75 | 20.24 |
| Mandar Mitra | 3 | 3092 | 338.20 |
| Prasenjit Majumder | 4 | 173 | 25.15 |
| Kripabandhu Ghosh | 5 | 87 | 17.60 |