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  1. Natural Language Processing (NLP) in mathematics involves computational analysis or synthesis of natural languages, such as English, French, or German1. Key areas of research include:
    1. Identifier-definition extraction
    2. Formula retrieval
    3. Natural language premise selection
    4. Math word problem solving
    5. Informal theorem proving2.
    Learn more:
    Natural language processing is concerned with the computational analysis or synthesis of natural languages, such as English, French or German (cf. [a1], [a10], [a8] for surveys). Natural language analysis proceeds from some given (written or spoken) natural language utterance and computes its grammatical structure or meaning representation.
    encyclopediaofmath.org/wiki/Natural_language_pro…
    We analyze mathematical language processing methods across five strategic sub-areas (identifier-definition extraction, formula retrieval, natural language premise selection, math word problem solving, and informal theorem proving) from recent years, highlighting prevailing methodologies, existing limitations, overarching trends, and promising avenues for future research.
    direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00594…
  2. Solving Mathematical Problems Using Large Language Models: A …

  3. Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry …

  4. [2410.20936] Autoformalize Mathematical Statements by Symbolic ...

  5. Papers with Code - Flow-DPO: Improving LLM Mathematical …

  6. Building a Career in Natural Language Processing (NLP): Key Skills …

  7. Top 10 NLP Models (Natural Language Processing) - The …

  8. Teaching the Specialized Language of Mathematics with a Data …

  9. Natural Language Processing Basics for Beginners

    5 days ago — Sentence 1: “Please book my flight for NewYork”. Sentence 2: “I like to read a book on NewYork”. In both sentences, the keyword “book” is used but in sentence one, it is used as a verb while in sentence two it is used as a noun. …

  10. Improving Transformer Inference Through Optimized Non ... - IEEE …

  11. Generative-AI in Finance : Opportunities and Challenges of

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