Ad-Hoc Information Retrieval
28 papers with code • 1 benchmarks • 2 datasets
Ad-hoc information retrieval refers to the task of returning information resources related to a user query formulated in natural language.
Benchmarks
These leaderboards are used to track progress in Ad-Hoc Information Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
Robust04
SciRepEval
Latest papers with no code
Query Expansion with Locally-Trained Word Embeddings
Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships.
