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.