Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Diego Antognini"'
Autor:
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin Grewe, Cristiano Malossi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc795f7197585cdb8c733a444c35d2fc
https://doi.org/10.1007/978-3-031-25082-8_19
https://doi.org/10.1007/978-3-031-25082-8_19
Autor:
Diego Antognini, Boi Faltings
Publikováno v:
RecSys
Recent studies have shown that providing personalized explanations alongside recommendations increases trust and perceived quality. Furthermore, it gives users an opportunity to refine the recommendations by critiquing parts of the explanations. On o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dced450e592440226275fb0ab2ae8195
https://doi.org/10.1145/3460231.3474249
https://doi.org/10.1145/3460231.3474249
Autor:
Diego Antognini, Boi Faltings
Publikováno v:
ACL/IJCNLP (Findings)
Automated predictions require explanations to be interpretable by humans. One type of explanation is a rationale, i.e., a selection of input features such as relevant text snippets from which the model computes the outcome. However, a single overall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a1f3c4c7b023d7977e8a1ba29d175e7
https://doi.org/10.18653/v1/2021.findings-acl.68
https://doi.org/10.18653/v1/2021.findings-acl.68
Publikováno v:
IJCAI
Using personalized explanations to support recommendations has been shown to increase trust and perceived quality. However, to actually obtain better recommendations, there needs to be a means for users to modify the recommendation criteria by intera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c8f6fce82064685c4bd027d6639e86e
http://arxiv.org/abs/2005.11067
http://arxiv.org/abs/2005.11067
Autor:
Boi Faltings, Diego Antognini
Linking facts across documents is a challenging task, as the language used to express the same information in a sentence can vary significantly, which complicates the task of multi-document summarization. Consequently, existing approaches heavily rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a1881ee73dd3677195decf70aee4b09
http://arxiv.org/abs/1909.12231
http://arxiv.org/abs/1909.12231
Autor:
Michael Baeriswyl, Athanasios Giannakopoulos, Andreea Hossmann, Diego Antognini, Claudiu Musat
Publikováno v:
ICDM Workshops
Aspect Term Extraction (ATE) detects opinionated aspect terms in sentences or text spans, with the end goal of performing aspect-based sentiment analysis. The small amount of available datasets for supervised ATE and the fact that they cover only a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6f36cfc9792ae63881d79765726bf2
Publikováno v:
RecSys
Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a75ae7ef71c34dc4d4c488abc6f5ef7
https://infoscience.epfl.ch/record/292290
https://infoscience.epfl.ch/record/292290