12 citations · 54 across the 14 of their papers we have counts for
4 papers · 1 filter
Flexible retrieval with NMSLIB and FlexNeuART
Leonid Boytsov, Eric Nyberg
Our objective is to introduce to the NLP community an existing k-NN search library NMSLIB, a new retrieval toolkit FlexNeuART, as well as their integration capabilities. NMSLIB, wh…
Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study
Leonid Boytsov, Eric Nyberg
We focus on low-dimensional non-metric search, where tree-based approaches permit efficient and accurate retrieval while having short indexing time. These methods rely on space par…
Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs
Leonid Boytsov, Eric Nyberg
We demonstrate that a graph-based search algorithm-relying on the construction of an approximate neighborhood graph-can directly work with challenging non-metric and/or non-symmetr…
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment
Hemant Pugaliya, Karan Saxena, Shefali Garg +4
Parallel deep learning architectures like fine-tuned BERT and MT-DNN, have quickly become the state of the art, bypassing previous deep and shallow learning methods by a large marg…