Bela Gipp
Biographic Data
| ID | 9551121 |
|---|---|
| NAME | Bela Gipp |
| GIVEN NAMES | Bela |
| FAMILY NAME | Gipp |
| SIGNATURE | GIPP B |
| AFFILIATIONS | University of Wuppertal |
| ORCID | 0000-0001-6522-3019 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Discovery and recognition of formula concepts using machine learning
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems in academic disciplines that use many references. In science, technology, engineering, and mathematics, researchers often employ mathematical concepts through formula notation to refer to prior knowledge. Our long-term goal is to generalize citation-based IR methods an…
Math-word embedding in math search and semantic extraction
Word embedding, which represents individual words with semantically fixed-length vectors, has made it possible to successfully apply deep learning to natural language processing tasks such as semantic role-modeling, question answering, and machine translation. As math text consists of natural text, as well as math expressions that similarly exhibit linear correlation and contextual characteristics, word embedding techniques can also be applied to…
No prominent works on this page.
Math-word embedding in math search and semantic extraction
Word embedding, which represents individual words with semantically fixed-length vectors, has made it possible to successfully apply deep learning to natural language processing tasks such as semantic role-modeling, question answering, and machine translation. As math text consists of natural text, as well as math expressions that similarly exhibit linear correlation and contextual characteristics, word embedding techniques can also be applied to…
Discovery and recognition of formula concepts using machine learning
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems in academic disciplines that use many references. In science, technology, engineering, and mathematics, researchers often employ mathematical concepts through formula notation to refer to prior knowledge. Our long-term goal is to generalize citation-based IR methods an…
Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Information retrieval (2 works) · Mathematics (2 works) · Mathematics, Computing, and Information Processing (2 works) · Natural Language Processing Techniques (2 works) · Similarity (geometry) (2 works) · Advanced Text Analysis Techniques (1 work) · Analogy (1 work)