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Extraction, expression and modeling method and system of text semantics aimed at elementary mathematical questions

A technology of elementary mathematics and modeling methods, applied in semantic analysis, electrical digital data processing, special data processing applications, etc., can solve problems such as irrelevant words cannot be removed, semantic understanding cannot achieve good results, etc.

Active Publication Date: 2017-12-12
FUDAN UNIV
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Problems solved by technology

In order to meet the ever-increasing demand for deeper mathematical text processing, such as mathematical question answering and question type classification, the current text processing and semantic modeling methods only focus on the information of the word itself, and the processing process cannot be very good. Irrelevant words are removed, so the understanding of semantics cannot achieve very good results

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  • Extraction, expression and modeling method and system of text semantics aimed at elementary mathematical questions
  • Extraction, expression and modeling method and system of text semantics aimed at elementary mathematical questions
  • Extraction, expression and modeling method and system of text semantics aimed at elementary mathematical questions

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Embodiment Construction

[0030] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0031] Such as figure 1 A meaning analysis system for elementary mathematics questions is shown, including a word segmentation unit, an anaphora resolution unit, a first-order logic translation unit, and a semantic modeling fusion unit. The word segmentation unit is used to receive the math topic text input by the user, and perform word segmentation processing on the input text to obtain a word sequence; the reference resolution unit is used to analyze the word sequence, and perform target replacement on the reference pronouns and implicit reference in the word segmentation results, Improve the semantic structure of the sentence; the first-order logic translation unit is used to translate the text into the correspon...

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Abstract

The invention belongs to the technical field of natural language processing for mathematics, in particular to an extraction, expression and modeling method of text semantics aimed at elementary mathematical questions and a corresponding question meaning analysis system of elementary mathematics. The method includes the following steps: as for an inputted mathematical question, using a combination of a word segmentation lexicon and a regular expression to segment words, as for the result after segmenting the words, conducting word conversion and word group combination, and conducting object replacement of reference words through anaphora resolution; then using the information obtained after processing to extract and translate mathematical formulas by virtue of a first-order logic, obtaining a mathematical question expression based on the first-order logic; finally, using deep neural networks to conduct semantic modeling and semantic fusion to the natural language and formulas of the question. The effective expression and modeling method of elementary mathematical questions proposed by the extraction, expression and modeling method and system of text semantics aimed at elementary mathematical questions can convert the mathematical question to a semantic representation which can be processed by a computer and conduct a more precise semantic modeling of mathematical questions.

Description

technical field [0001] The invention belongs to the technical field of mathematics-oriented natural language processing, and specifically relates to a text semantic extraction, representation and modeling method for elementary mathematics questions and an elementary mathematics question meaning analysis system. Background technique [0002] At present, the mainstream method for natural language processing in the field of mathematics is to segment the text of mathematics questions, and use the form of bag of words or word vectors to analyze and model the meaning of the questions. In order to meet the ever-increasing demand for deeper mathematical text processing, such as mathematical question answering and question type classification, the current text processing and semantic modeling methods only focus on the information of the word itself, and the processing process cannot be very good. Irrelevant words are removed, so the understanding of semantics cannot achieve very good...

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/247G06F40/279G06F40/30
Inventor 张奇邓彬彬赵忆佳黄浩然
Owner FUDAN UNIV
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