Automatic extraction of cause-effect relations in natural language text

Autor: ANTONIO SORGENTE, Vettigli, G., Mele, F.

Publikováno v: International Workshop on Information Filtering and Retrieval, DART2013, pp. 37–48, Turin, December 6, 2013
info:cnr-pdr/source/autori:Sorgente, Antonio; Vettigli, Giuseppe; Mele, Francesco/congresso_nome:International Workshop on Information Filtering and Retrieval, DART2013/congresso_luogo:Turin/congresso_data:December 6, 2013/anno:2013/pagina_da:37/pagina_a:48/intervallo_pagine:37–48
Scopus-Elsevier

The discovery of causal relations from text has been studied adopting various approaches based on rules or Machine Learning (ML) techniques. The approach proposed joins both rules and ML methods to combine the advantage of each one. In particular, ou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::000eba62b76f96d8e3f0e2ba242426b6
http://www.scopus.com/record/display.url?eid=2-s2.0-84909579321&origin=inward

Modeling Residential Energy Consumption Patterns with Machine Learning Methods Based on a Case Study in Brazil.

Autor: Henriques, Lucas^1,2 (AUTHOR) felipepratalima@gmail.com, Castro, Cecilia¹ (AUTHOR) cecilia@math.uminho.pt, Prata, Felipe² (AUTHOR), Leiva, Víctor³ (AUTHOR) cecilia@math.uminho.pt, Venegas, René⁴ (AUTHOR) rene.venegas@pucv.cl

Publikováno v: Mathematics (2227-7390). Jul2024, Vol. 12 Issue 13, p1961. 33p.

Relationship between Synoptic Weather Patterns and Topography on Snowfall in the Idaho Mountainous Regions during the SNOWIE Project.

Autor: Xie, Zhixing¹ (AUTHOR) Zhixing.Xie@colorado.edu, Friedrich, Katja¹ (AUTHOR), Tessendorf, Sarah A.² (AUTHOR), Xue, Lulin² (AUTHOR), Chen, Sisi² (AUTHOR), Whittock, Theodore¹ (AUTHOR), Geerts, Bart³ (AUTHOR), Ikeda, Kyoko² (AUTHOR)

Publikováno v: Journal of Applied Meteorology & Climatology. Jul2024, Vol. 63 Issue 7, p855-871. 17p.

Grounding problem and Semantic Web Services

Autor: Mele F., Sorgente A, Vettigli G

Publikováno v: Future Perspectives for Semantic Technologies in Enterprises, Brescia (Italy), 2010
info:cnr-pdr/source/autori:Mele F., Sorgente A, Vettigli G/congresso_nome:Future Perspectives for Semantic Technologies in Enterprises/congresso_luogo:Brescia (Italy)/congresso_data:2010/anno:2010/pagina_da:/pagina_a:/intervallo_pagine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::e76931deca530ad6ee869893f2844b56
http://www.cnr.it/prodotto/i/106574

Efficient Algorithms for Coded Multicasting in Heterogeneous Caching Networks.

Autor: Vettigli G; Department of Electrical Engineering and Information Technology (DIETI), Universitá di Napoli Federico II, 80138 Napoli, Italy., Ji M; Department of Electrical and Computer Engineering (ECE), University of Utah, Salt Lake City, UT 84112, USA., Shanmugam K; IBM Research, New York, NY 10598, USA., Llorca J; Department of Math and Algorithms, Nokia Bell Labs, Murray Hill, NJ 07738, USA., Tulino AM; Department of Electrical Engineering and Information Technology (DIETI), Universitá di Napoli Federico II, 80138 Napoli, Italy.; Department of Math and Algorithms, Nokia Bell Labs, Murray Hill, NJ 07738, USA., Caire G; Faculty of Electrical Engineering and Computer Science (EECS), Technical University of Berlin, 10587 Berlin, Germany.

Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2019 Mar 25; Vol. 21 (3). Date of Electronic Publication: 2019 Mar 25.