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cs.CL2021
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…
cs.CL2020★ 2 cited
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…
cs.CL2019
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…