3 citations · 7 across the 5 of their papers we have counts for
7 papers
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits
Leonid Boytsov, Zico Kolter
We study the utility of the lexical translation model (IBM Model 1) for English text retrieval, in particular, its neural variants that are trained end-to-end. We use the neural Mo…
Traditional IR rivals neural models on the MS MARCO Document Ranking Leaderboard
Leonid Boytsov
This short document describes a traditional IR system that achieved MRR@100 equal to 0.298 on the MS MARCO Document Ranking leaderboard (on 2020-12-06). Although inferior to most B…
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…
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis
Pavel Efimov, Andrey Chertok, Leonid Boytsov +1
SberQuAD -- a large scale analog of Stanford SQuAD in the Russian language - is a valuable resource that has not been properly presented to the scientific community. We fill this g…
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…