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Towards a gold standard dataset for Open Information Extraction in Italian.

, , , and . SNAMS, page 447-453. IEEE, (2019)

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Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering, , , , and . Information Sciences, (April 2020)Clinical de-identification using sub-document analysis and ELECTRA., , , , and . ICDH, page 266-275. IEEE, (2021)Query Expansion Based on WordNet and Word2vec for Italian Question Answering Systems., , , and . 3PGCIC, volume 13 of Lecture Notes on Data Engineering and Communications Technologies, page 301-313. Springer, (2017)Towards a Framework for Closed-Domain Question Answering in Italian., , , and . SITIS, page 604-611. IEEE Computer Society, (2016)Selecting a Reduced Set of Features for Supporting the Stance Detection Task., , and . INCoS, volume 182 of Lecture Notes on Data Engineering and Communications Technologies, page 125-135. Springer, (2023)Towards a gold standard dataset for Open Information Extraction in Italian., , , and . SNAMS, page 447-453. IEEE, (2019)Open Information Extraction for Italian Sentences., , and . AINA Workshops, page 668-673. IEEE Computer Society, (2018)An Effective Corpus-Based Question Answering Pipeline for Italian., , , and . IIMSS, volume 76 of Smart Innovation, Systems and Technologies, page 80-90. Springer, (2017)Lexicon-Grammar based open information extraction from natural language sentences in Italian, , , , and . Expert Systems with Applications, (2020)When Lexicon-Grammar Meets Open Information Extraction: a Computational Experiment for Italian Sentences., , , and . CLiC-it, volume 2481 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)