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- W4287996978 abstract "Query Auto Completion (QAC) is among the most appealing features of a web search engine. It helps users formulate queries quickly with less effort. Although there has been much effort in this area for text, to the best of our knowledge there is few work on mathematical formula auto completion. In this paper, we implement 5 existing QAC methods on mathematical formula and evaluate them on the NTCIR-12 MathIR task dataset. We report the efficiency of retrieved results using Mean Reciprocal Rank (MRR) and Mean Average Precision(MAP). Our study indicates that the Finite State Transducer outperforms other QAC models with a MRR score of $0.642$." @default.
- W4287996978 created "2022-07-26" @default.
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- W4287996978 date "2019-12-09" @default.
- W4287996978 modified "2023-09-30" @default.
- W4287996978 title "Query Auto Completion for Math Formula Search" @default.
- W4287996978 doi "https://doi.org/10.48550/arxiv.1912.04115" @default.
- W4287996978 hasPublicationYear "2019" @default.
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