Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Davide Liga"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Evidence of lateralization has been provided in Apis mellifera in olfactory learning and social interactions, but not much is known about how it influences visuo-motor tasks. This study investigates visuo-motor biases in free-flying honeybee
Externí odkaz:
https://doaj.org/article/ec0154a57e574b82b2517af6e98439b8
Autor:
Davide Liga, Monica Palmirani
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031160714
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d062495c0f83bf5df2e442d3ed6ec7f
https://doi.org/10.1007/978-3-031-16072-1_4
https://doi.org/10.1007/978-3-031-16072-1_4
Autor:
Monica Palmirani, Davide Liga
Publikováno v:
Electronic Government and the Information Systems Perspective ISBN: 9783031126727
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b828f3f2637704d91ff72769da9bf42
https://doi.org/10.1007/978-3-031-12673-4_9
https://doi.org/10.1007/978-3-031-12673-4_9
Autor:
Davide Liga, Monica Palmirani
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643683645
This work focuses on the automatic classification of deontic sentences. It presents a novel Machine Learning approach which combines the power of Transfer Learning with the information provided by two famous LegalXML formats. In particular, different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da446e606cb8310f3a8d8c202fc8bda
http://orbilu.uni.lu/handle/10993/53791
http://orbilu.uni.lu/handle/10993/53791
This paper presents an AI use-case developed in the project “Study on legislation in the era of artificial intelligence and digitization” promoted by the EU Commission Directorate-General for Informatics. We propose a hybrid technical framework w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d76d8e3e173f40cf54c28f3974978b
https://hdl.handle.net/11585/841427
https://hdl.handle.net/11585/841427
Autor:
Davide Liga
The purpose of this study is to deploy a novel methodology for classifying argumentative support (or evidence) in arguments. The methodology shows that Tree Kernel can discriminate between different types of argumentative evidence with high scores, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3bf64d2dc2d5663c0b5a41e094b594c2
http://orbilu.uni.lu/handle/10993/52144
http://orbilu.uni.lu/handle/10993/52144
Autor:
Monica Palmirani, Davide Liga
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030446376
CLAR
CLAR
This study is an approach to encompass uncertainty in the well-known Argumentation Scheme from Negative Consequences and in the more recent “Basic Slippery Slope Argument” proposed by Douglas Walton. This work envisages two new kinds of uncertain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aacac1c1ac4cb4b790fc27c0159c5422
https://doi.org/10.1007/978-3-030-44638-3_16
https://doi.org/10.1007/978-3-030-44638-3_16
In this work we introduce an innovative approach for “Sentiment Analysis” or Opinion Mining, that is classically based on the concept that some words have positive or negative meanings. Infact, introducing the Plutchick score, it is possible to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::736e9a2b55173bed33173ef341cfe864
http://hdl.handle.net/11588/687210
http://hdl.handle.net/11588/687210
Autor:
Eugenio Iorio, Davide Liga, Antonio Ruoto, Giuseppe Oddo, Massimiliano Giacalone, Vito Santarcangelo
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783319554761
In the Network Society the use of hashtags has become a daily routine for the participation on the Big Conversation Iorio and Ruoto (Nessun tempo, 2015). Designated by a ‘hash’ symbol (#), a hashtag is a keyword assigned to information that descr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::002fae82aac85f0de2ee32cb6b682a0f
https://doi.org/10.1007/978-3-319-55477-8_20
https://doi.org/10.1007/978-3-319-55477-8_20
Autor:
Davide Liga
Publikováno v:
Davide Liga
ArgMining@ACL
ArgMining@ACL
The purpose of this study is to deploy a novel methodology for classifying different argumentative support (supporting evidences) in arguments, without considering the context. The proposed methodology is based on the idea that the use of Tree Kernel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0388d486976be52d31d1303bd8e4bfae
https://www.aclweb.org/anthology/W19-4511
https://www.aclweb.org/anthology/W19-4511