Name
Abstract | ||
|---|---|---|
The retrieval of sentences is a core task within Information Retrieval. In this poster we employ a Language Model that incorporates a prior which encodes the importance of sentences within the retrieval model. Then, in a set of comprehensive experiments using the TREC Novelty Tracks, we show that including this prior substantially improves retrieval effectiveness, and significantly outperforms the current state of the art in sentence retrieval. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1835449.1835612 | SIGIR |
Keywords | Field | DocType |
comprehensive experiment,trec novelty tracks,retrieval effectiveness,core task,language model,information retrieval,sentence retrieval,retrieval model,improving sentence retrieval,current state,language models | Cognitive models of information retrieval,Question answering,Human–computer information retrieval,Information retrieval,Computer science,Natural language processing,Relevance (information retrieval),Artificial intelligence,Document retrieval,Vector space model,Adversarial information retrieval,Visual Word | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leif Azzopardi | 1 | 1919 | 133.10 |
| Ronald T. Fernández | 2 | 33 | 3.78 |
| David E. Losada | 3 | 326 | 40.63 |