Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Simone Magnolini"'
Publikováno v:
JMIR Formative Research, Vol 8, p e58653 (2024)
BackgroundDespite the increasing focus on perinatal care, preventive digital interventions are still scarce. Furthermore, the literature suggests that the design and development of these interventions are mainly conducted through a top-down approach
Externí odkaz:
https://doaj.org/article/0acaf8753bf54ffa963a1bae1e9f348a
Publikováno v:
SIGDIAL Conference
We present a domain portable zero-shot learning approach for entity recognition in task-oriented conversational agents, which does not assume any annotated sentences at training time. Rather, we derive a neural model of the entity names based only on
Publikováno v:
Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018 ISBN: 9788831978682
CLiC-it
CLiC-it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af31e2114b10d9674c1dfa844b736f54
https://doi.org/10.4000/books.aaccademia.3430
https://doi.org/10.4000/books.aaccademia.3430
Autor:
Marco Guerini, Mauro Dragoni, Valerio Piccioni, Bernardo Magnini, Vevake Balaraman, Simone Magnolini
Publikováno v:
AI*IA 2018 – Advances in Artificial Intelligence ISBN: 9783030038397
AI*IA
AI*IA
We present a conversational system that aims at calculating the amount of consumed carbohydrates in a meal by diabetic patients. Through a chat input, users can freely describe foods, which are first semantically interpreted and then matched against
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e3174f95a74675f4bb54bd2cf94e339
https://doi.org/10.1007/978-3-030-03840-3_9
https://doi.org/10.1007/978-3-030-03840-3_9
Publikováno v:
EVALITA@CLiC-it
Scopus-Elsevier
Scopus-Elsevier
We present the FBK participation at the EVALITA 2018 Shared Task “SUGAR – Spoken Utterances Guiding Chef’s Assistant Robots”. There are two peculiar, and challenging, characteristics of the task: first, the amount of available training data i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4efc59da04602a4cf11595a336f1bc76
https://doi.org/10.4000/books.aaccademia.4862
https://doi.org/10.4000/books.aaccademia.4862
Publikováno v:
SemEval@NAACL-HLT
Autor:
Erick Rocha Fonseca, Bernardo Magnini, Mohammed R. H. Qwaider, Anna Feltracco, Simone Magnolini
Publikováno v:
CLiC-it/EVALITA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65b68486ac5617032f65b3bd74d5876c
https://doi.org/10.4000/books.aaccademia.1981
https://doi.org/10.4000/books.aaccademia.1981
Publikováno v:
AI*IA 2016 Advances in Artificial Intelligence ISBN: 9783319491295
AI*IA
AI*IA
We present a work to evaluate the hypothesis that automatic evaluation metrics developed for Machine Translation MT systems have significant impact on predicting semantic similarity scores in Semantic Textual Similarity STS task, in light of their us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aacd48c7fa305f6544be0fbf7e44f24
https://doi.org/10.1007/978-3-319-49130-1_33
https://doi.org/10.1007/978-3-319-49130-1_33
Publikováno v:
SemEval@NAACL-HLT
This paper reports the description and performance of our system, FBK-HLT, participating in the SemEval 2015, Task #3 "Answer Selection in Community Question Answering" for English, for both subtasks. We submit two runs with different classifiers in
Publikováno v:
SocialNLP@NAACL
Paraphrase Identification and Semantic Similarity are two different yet well related tasks in NLP. There are many studies on these two tasks extensively on structured texts in the past. However, with the strong rise of social media data, studying the