Fazele Tavakoli

- implemented neural networks like Neural Tensor Network and knowledge embedding models like TransE using pytorch - worked on semantic web - Queried linked data using SPARQL query language - Creating a Knowledge Graph based on Semantic Scholar data, as the input of a knowledge embedding model - OpenAIRE maintenance using bitbucket.(OpenAIRE is a European Open Access infrastructure. It gathers the research output funded by the EC (and other funders))

- worked on linguistic utilities including Stanford parser. - developed a Persian stemmer, POS tagger, non-supervised stop word detector, and a non-supervised keyword extractor. - worked on some word embedding systems like Word2Vec, and WordNet.