Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
In this study we compare two semantic relatedness algorithms, namely, Explicit Semantic Analysis (ESA) and Word2Vec. ESA represents text meaning in a high-dimensional space of concepts derived from Wikipedia. Word2Vec generates distributed vector representations from large text corpora). Experiments were carried out on the Russian paraphrase corpus of news titles and Russian ParaPlag paraphrase corpus. The paper contains thorough analysis of results and evaluation procedure.
| Original language | English |
|---|---|
| Title of host publication | Digital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers |
| Editors | Daniel A. Alexandrov, Yury Kabanov, Olessia Koltsova, Alexander V. Boukhanovsky, Andrei V. Chugunov |
| Publisher | Springer Nature |
| Pages | 350-360 |
| Number of pages | 11 |
| ISBN (Print) | 9783030028459 |
| DOIs | |
| State | Published - 2018 |
| Event | 3rd International Conference on Digital Transformation and Global Society, DTGS 2018 - Университет ИТМО, St. Petersburg, Russian Federation Duration: 30 May 2018 → 2 Jun 2018 http://dtgs.ifmo.ru/ |
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 859 |
| ISSN (Print) | 1865-0929 |
| Conference | 3rd International Conference on Digital Transformation and Global Society, DTGS 2018 |
|---|---|
| Abbreviated title | DTGS - 2018 |
| Country/Territory | Russian Federation |
| City | St. Petersburg |
| Period | 30/05/18 → 2/06/18 |
| Internet address |
ID: 37682445