NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (ISWC (2), 2020)

NEO: A System for Identifying New Emerging Occupation from Job Ads. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (AAAI, 2021)

Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). - Andrea Seveso; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2021)

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (IJCAI, 2021)

Skills2Job: A recommender system that encodes job offer embeddings on graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Appl. Soft Comput., 2021)

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2022)

A Unified Framework for Intrinsic Evaluation of Word-Embedding Algorithms. - Anna Giabelli (IJCAI, 2022)

WETA: Automatic taxonomy alignment via word embeddings. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Comput. Ind., 2022)

Embeddings Evaluation Using a Novel Measure of Semantic Similarity. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Cogn. Comput., 2022)

GraphLMI: A data driven system for exploring labor market information through graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Multim. Tools Appl., 2022)

A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. - Roberto Ascari; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Cogn. Comput., 2024)