Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks
نویسندگان
چکیده
Abstract Automating discovery in mathematics and science will require sophisticated methods of information extraction abstract reasoning, including models that can convincingly process relationships between mathematical elements natural language, to produce problem solutions real-world value. We analyze language processing across five strategic sub-areas (identifier-definition extraction, formula retrieval, premise selection, math word solving, informal theorem proving) from recent years, highlighting prevailing methodologies, existing limitations, overarching trends, promising avenues for future research.
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2023
ISSN: ['2307-387X']
DOI: https://doi.org/10.1162/tacl_a_00594