Text mining tool for translating terms of contract into technical specifications: Development and application in the railway sector

Autor: Fantoni, G., Coli, E. ^⁎, Chiarello, F., Apreda, R., Dell’Orletta, F., Pratelli, G.

Publikováno v: In Computers in Industry January 2021 124

Automatic extraction of function–behaviour–state information from patents

Autor: Fantoni, G., Apreda, R., Dell’Orletta, F., Monge, M.

Publikováno v: In Advanced Engineering Informatics August 2013 27(3):317-334

Linguistic Profiling of a Neural Language Model

Autor: Miaschi A., Brunato D., Dell'Orletta F., Venturi G.

Publikováno v: International Conference on Computational Linguistics (COLING), pp. 745–756, Online, 8-13/12/2020
info:cnr-pdr/source/autori:Miaschi A., Brunato D., Dell'Orletta F., Venturi G./congresso_nome:International Conference on Computational Linguistics (COLING)/congresso_luogo:Online/congresso_data:8-13%2F12%2F2020/anno:2020/pagina_da:745/pagina_a:756/intervallo_pagine:745–756

In this paper we investigate the linguistic knowledge learned by a Neural Language Model (NLM) before and after a fine-tuning process and how this knowledge affects its predictions during several classification problems. We use a wide set of probing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::d5297c5198406ab26a9c4cf764fc0d6c
https://www.aclweb.org/anthology/2020.coling-main.65/

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Dissecting Treebanks to Uncover Typological Trends. A Multilingual Comparative Approach

Autor: Alzetta C., Dell'Orletta F., Montemagni S., Venturi G.

Publikováno v: 1st TyP-NLP: The Workshop on Typology for Polyglot NLP, ACL workshop, pp. 1–3, Firenze, 01/08/2019
info:cnr-pdr/source/autori:Alzetta C., Dell'Orletta F., Montemagni S., Venturi G./congresso_nome:1st TyP-NLP: The Workshop on Typology for Polyglot NLP, ACL workshop/congresso_luogo:Firenze/congresso_data:01%2F08%2F2019/anno:2019/pagina_da:1/pagina_a:3/intervallo_pagine:1–3

Over the last years, linguistic typology started attracting the interest of the community working on cross- and multi-lingual NLP as a way to tackle the bottleneck deriving from the lack of annotated data for many languages. Typological information i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::356721b328d8382f4a7d8b3c1575a8f6
https://typology-and-nlp.github.io/2019/assets/2019/papers/5.pdf