Project Details

Distant Reading - Advanced Semantic Enrichment of Multi-Language Literary Text Collections

Project Period: 3. 11. 2017 - 30. 4. 2022

Project Type: grant

Code: CA16204

Agency: COST, European Cooperation in Science and Technology

Program: European Cooperation in Science and Technology (COST)

Czech title
Pokročilé sémantické obohacování vícejazyčných kolekcí literních textů
Type
grant
Keywords

advanced semantic, multi-language, literary text, text collections

Abstract

The project will contribute to the activities of COST Action CA 16204 - Distant-Reading - in the areas related to semantic enrichment of large collections of literary texts in various languages. We will re-search and develop advanced methods of metadata extraction and content annotation, making explicit a wide range of semantic structures in texts, explore novel techniques to adapt existing resources and tools to new languages, domains, and contexts, and study new ways to efficiently manage collected resources and to check their quality and consistency.

Team members
Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , research leader
Otrusina Lubomír, Ing. (UPGM FIT VUT) , team leader
Publications

2021

  • MIN Sewon, FAJČÍK Martin, DOČEKAL Martin, ONDŘEJ Karel and SMRŽ Pavel et al. NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. In: Proceedings of the NeurIPS 2020 Competition and Demonstration Track. Proceedings of Machine Learning Research, vol. 133. online: Proceedings of Machine Learning Research, 2021, pp. 86-111. ISSN 2640-3498. Detail
Back to top