Babelscape is currently funding 5 industrial PhD positions for its employees based on agreements with the Sapienza University of Rome to carry out research.
Babelscape is committed to carrying out research and develop technological innovation at the highest level in the field of multilingual Natural Language Understanding with a strong emphasis on neuro-symbolic approaches which combine knowledge graphs with deep learning models.
All Babelscape products are the result of important investments in Research & Development (R&D), which are covered by the following macro-projects:
- Semantic Natural Language Understanding: probably the most central goal of our company is to devise novel approaches that can determine the meaning of texts independently of the language they are written in, by associating words and phrases with concepts (Word Sense Disambiguation), entities (entity linking), predicates and their arguments (Semantic Role Labeling), the meaning structure formalisms (semantic parsing) etc.
- Personalizable Multilingual Knowledge Graphs, by creating large multilingual domain-oriented or need-oriented knowledge graphs starting from datasets and term banks.
- TraDeInterpret, where we enable the semantic interpretation of strings (trademarks) across all EU languages depending on the Nice classes and the Goods & Services description of the trademark.
- KnowGraphs, a scientific project involving 15 Early-Stage Researchers, 2 of which are Babelscape's employees (see below).
