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文脈を考慮した数学的知識へのアクセスに関する研究

考虑情境的数学知识获取研究

基本信息

批准号：
14J09896
负责人：
KRISTIANTO GIOVANNIYOKO
金额：
$ 1.6万
依托单位：
The University of Tokyo
依托单位国家：
日本
项目类别：
Grant-in-Aid for JSPS Fellows
财政年份：
2014
资助国家：
日本
起止时间：
2014-04-25 至 2017-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14J09896/
关键词：
Mathematical knowledge Math formulae search Mathematical expressions MathML indexing Dependency graph Math entity linking Mathematical Knowledge Dependency relationships Math search system Learning-to-rank Unification Description

项目摘要

The objective of this research is to design a mathematical information access (MIA) system, that is a system that allows people to effectively access and process large amounts of mathematical information. We propose a math information retrieval (MIR) module to allow effective search for math information. Then, we design a math entity linking (MEL) module for document browsing. This latter module provides information about math expressions contained in each document by linking these math expressions to their corresponding articles in Wikipedia.In this year, what we have achieved are:(1) The evaluation of our MIR module in the NTCIR-12 MathIR task. The results showed that our system finished at the first place. The overall results were published in the 12th NTCIR conference. In addition, the detail of the key component of our MIR module was published in the Information Retrieval Journal.(2) The initial design of MEL module. Our initial MEL module was based on the MIR. The evaluation showed that the initial module did not perform well. This result was published in the 18th ICADL.(3) The development of a supervised-learning approach for MEL. We constructed a dataset for this task, then proposed a method for measuring the importance of a given math expressions in its containing document, and finally implemented several features (i.e. math and text similarity, math importance, and math prominence). It was shown that the latter MEL module achieved a precision of 83.40%, compared with 6.22% for our initial module. This work was published in the SWM at WSDM 2017 conference.

本研究的目的是设计一个数学信息存取系统，即一个能让人们有效地存取和处理大量数学信息的系统。我们提出了一个数学信息检索（MIR）模块，允许有效的搜索数学信息。然后，我们设计了一个数学实体链接（MEL）模块，用于文档浏览。后一个模块通过将每个文档中包含的数学表达式链接到维基百科中相应的文章来提供有关这些数学表达式的信息。在这一年中，我们取得了以下成果：（1）在NTCIR-12 MathIR任务中对我们的MIR模块进行了评估。实验结果表明，本系统在实验中取得了良好的效果。总体结果发表在第12届NTCIR会议上。此外，我们的MIR模块的关键组成部分的细节发表在信息检索杂志。(2)MEL模块的初步设计。我们最初的MEL模块基于MIR。评价表明，最初的模块运行不佳。这一结果发表在第18届ICADL上。(3)为MEL开发监督学习方法。我们为此任务构建了一个数据集，然后提出了一种方法来测量给定数学表达式在其包含文档中的重要性，最后实现了几个功能（即数学和文本相似性，数学重要性和数学突出性）。结果表明，后者MEL模块达到了83.40%，相比之下，我们的初始模块的6.22%。这项工作发表在WSDM 2017会议的SWM上。

项目成果

期刊论文数量（0）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Efficient Algorithm for Math Formula Semantic Search

DOI：
10.1587/transinf.2015dap0023
发表时间：
2016-04
期刊：
IEICE Trans. Inf. Syst.
影响因子：
0
作者：
Shunsuke Ohashi;Giovanni Yoko Kristianto;Goran Topic;Akiko Aizawa
通讯作者：
Shunsuke Ohashi;Giovanni Yoko Kristianto;Goran Topic;Akiko Aizawa

Exploiting textual descriptions and dependency graph for searching mathematical expressions in scientific papers

DOI：
10.1109/icdim.2014.6991403
发表时间：
2014-12
期刊：
Ninth International Conference on Digital Information Management (ICDIM 2014)
影响因子：
0
作者：
Giovanni Yoko Kristianto;Goran Topic;Akiko Aizawa
通讯作者：
Giovanni Yoko Kristianto;Goran Topic;Akiko Aizawa

The MCAT Math Retrieval System for NTCIR-11 Math Track