POS Tagging and its Applications for Mathematics
Content analysis of scientific publications is a nontrivial task, but a useful and important one for scientific information services. In the Gutenberg era it was a domain of human experts; in the digital age many machine-based methods, e.g., graph analysis tools and machine-learning techniques, have been developed for it. Natural Language Processing (NLP) is a powerful machine-learning approach to semiautomatic speech and language processing, which is also applicable to mathematics. The well established methods of NLP have to be adjusted for the special needs of mathematics, in particular for handling mathematical formulae. We demonstrate a mathematics-aware part of speech tagger and give a short overview about our adaptation of NLP methods for mathematical publications. We show the use of the tools developed for key phrase extraction and classification in the database zbMATH.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningGeneral ClassificationPOSPOS TaggingSimilar Papers 제목 키워드 기반
Towards cross-lingual application of language-specific PoS tagging schemes
We describe the process of conversion between the PoS tagging schemes of two languages, the Icelandic MIM-GOLD tagging scheme and the Faroese Sosialurin tagging scheme. These tagging schemes are functionally similar but …
POSPOS TaggingTransfer LearningMathematics and Machine Creativity: A Survey on Bridging Mathematics with AI
This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research, highlighting the transformative role AI has begun to play in this domain. Traditionally, AI advan…
Reinforcement Learning (RL)SurveyMathematics as information compression via the matching and unification of patterns
This paper describes a novel perspective on the foundations of mathematics: how mathematics may be seen to be largely about 'information compression via the matching and unification of patterns' (ICMUP). ICMUP is itself …
Correctness, Artificial Intelligence, and the Epistemic Value of Mathematical Proof
We argue that it is neither necessary nor sufficient for a mathematical proof to have epistemic value that it be "correct", in the sense of formalizable in a formal proof system. We then present a view on the relationshi…
Introducing the Mathematics Meme Repository
In the era of digital communication, memes have become a potent medium for conveying ideas, humor, and cultural references. This paper introduces the “Mathematical Mathematics Memes Dataset”, a comprehensive collection o…
Math