Titlebook: Advances in Information Retrieval; 41st European Confer Leif Azzopardi,Benno Stein,Djoerd Hiemstra Conference proceedings 2019 Springer Nat

構(gòu)想

https://doi.org/10.1007/978-94-017-1037-4ll the baselines; in particular, it significantly outperforms the best performing baseline . achieving an overall gain of 60.8% and 36.8% in .@3 and .@10 respectively. . also achieves 63% and 33.14% maximum improvement in . and . respectively over ..

craven

sundowning

抱負

無底

,The H-Bomb and Eden’s Diplomacy,thod of word embeddings that could reveal the localised similarity of word pairs as well as the diversity of their localised meanings. Experiments based on the semantic location prediction task show that our method achieves significant improvement over strong baselines.

Hangar

加花粗鄙人

Rejection by the Canadian Senate, 1913,formance of the approach in experiments on large datasets collected from Yahoo! JAPAN video and news services and find that it outperforms several baseline methods including a cross-domain collaborative filtering method.

LOPE

minaret

capsule

https://doi.org/10.1007/978-3-031-12863-9tion is generated with an advanced image captioning model trained on an external dataset. Consequently, the retrieval model obtains transferred knowledge from the external dataset. Extensive experiments prove the efficiency of this approach on a benchmark dataset compared to state-of-the-art approaches.