Learning semantic-space of documents (Bow2SemSpace) Download
Creates semantic-space representation of documents based on Latent Semantic Indexing. Parameters and example call.
Projecting on the semantic-space of documents (ProjBow2SemSpace) Download
Projects documents provided in the Bag-Of-Words format to semantic-space representation of documents that was previously generated using Bow2SemSpace. Parameters and example call.
Learning language independent semantic-space of documents (PrSet2SemSpace) Download
The utility learns language independent semantic space for two languages from paired corpus. Parameters and example call.
Tuesday Sep 8th at 13h CET Marko Grobelnik has been part of an interesting panel on “High-level Dialogue (HLD) session on Promoting Global Cooperation to harness the power of AI to mitigate COVID-19 World Summit on the Information Society”