diff options
| author | xPaulienx | 2017-09-29 11:41:33 +0200 |
|---|---|---|
| committer | GitHub | 2017-09-29 11:41:33 +0200 |
| commit | 59fc6107ae33532e573b002ec1e94a21cd37d6eb (patch) | |
| tree | 53c3e405cdf44927b18424566c4c3c3a9dfff98f /Plan.md | |
| parent | Merge branch 'gh-pages' of github.com:rubigdata/IR-2017-4 into gh-pages (diff) | |
Update Plan.md
Diffstat (limited to 'Plan.md')
| -rw-r--r-- | Plan.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -34,9 +34,9 @@ As such, our idea is to use some kind of Hill-Climbing algorithm to determine ju ## Nordlys Nordlyss is a toolkit for entity-oriented and semantic search. It currently supports four entity-oriented tasks, which could be useful for our project. These entity-oriented tasks are: - `Entity cataloging` -- `Entity retrieval` -- `Entity linking in queries` -- `Target type identification` +- `Entity retrieval` Returns a ranked list of entities in response to a query +- `Entity linking in queries` Identifies entities in a query and links them to the corresponding entry in the Knowledge base +- `Target type identification` Detects the target types (or categories) of a query The Nordlys toolkit was used to create the results described above, as such, it provides us with the means to reproduce these results. In addition, Nordlys provides a Python interface that can be used to implement the Hill Climbing algorithm. |