Akiko Aizawa
Biographic Data
| ID | 9551361 |
|---|---|
| NAME | Akiko Aizawa |
| GIVEN NAMES | Akiko |
| FAMILY NAME | Aizawa |
| SIGNATURE | AIZAWA A |
| AFFILIATIONS | National Institute of Informatics |
| ORCID | 0000-0001-6544-5076 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
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…
An information-theoretic perspective of tf–idf measures
No prominent works on this page.
An information-theoretic perspective of tf–idf measures
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…
Artificial Intelligence (2 works) · Computer Science (2 works) · Information retrieval (2 works) · Mathematics (2 works) · Topic Modeling (2 works) · Advanced Text Analysis Techniques (1 work) · Analogy (1 work) · Artificial Intelligence (1 work) · Context (archaeology) (1 work) · Data mining (1 work)