E-LIB Suche - Ergebnisse für: Buscaldi, Davide

1

On Syntactical Graphs-of-Words:

, In: AIRO Springer Series; Graphs and Combinatorial Optimization: from Theory to Applications,

Boukhatem, Nabil Moncef ; Buscaldi, Davide ; Liberti, Leo - p. 175-186 , 2024

Link: https://doi.org/10.1007/..

2

Triplétoile: Extraction of knowledge from microblogging tex:

Zavarella, Vanni ; Consoli, Sergio ; Reforgiato Recupero, Diego...
Heliyon. 10 (2024) 12 - p. e32479 , 2024

Link: https://doi.org/10.1016/..

3

Citation prediction by leveraging transformers and natural ..:

Buscaldi, Davide ; Dessí, Danilo ; Motta, Enrico...
Information Processing & Management. 61 (2024) 1 - p. 103583 , 2024

Link: https://doi.org/10.1016/..

4

Towards a Novel Approach for Knowledge Base Population Usin..:

, In: Lecture Notes in Computer Science; Pattern Recognition,

García-Mendoza, Juan-Luis ; Buscaldi, Davide ; Bustio-Martínez, Lázaro... - p. 96-106 , 2024

Link: https://doi.org/10.1007/..

5

Towards Automatic Principles of Persuasion Detection Using ..:

, In: Progress in Artificial Intelligence and Pattern Recognition; Lecture Notes in Computer Science,

Bustio-Martínez, Lázaro ; Herrera-Semenets, Vitali ; García-Mendoza, Juan-Luis... - p. 155-166 , 2023

Link: https://doi.org/10.1007/..

6

Detecting Artificially Generated Academic Text: The Importa..:

, In: Natural Language Processing and Information Systems; Lecture Notes in Computer Science,

Liyanage, Vijini ; Buscaldi, Davide - p. 558-565 , 2023

Link: https://doi.org/10.1007/..

7

Word sense induction with agglomerative clustering and mutu..:

Abdine, Hadi ; Kamal Eddine, Moussa ; Buscaldi, Davide.
AI Open. 4 (2023) - p. 193-201 , 2023

Link: https://doi.org/10.1016/..

8

Analyzing the generalizability of the network-based topic e..:

Jung, Sukhwan ; Segev, Aviv ; Alam, Mehwish...
Semantic Web. 13 (2022) 3 - p. 423-439 , 2022

Link: https://doi.org/10.3233/..

9

Discovering alignment relations with Graph Convolutional Ne..:

Monnin, Pierre ; Raïssi, Chedy ; Napoli, Amedeo...
Semantic Web. 13 (2022) 3 - p. 379-398 , 2022

Link: https://doi.org/10.3233/..

10

Taxonomy enrichment with text and graph vector representati..:

Nikishina, Irina ; Tikhomirov, Mikhail ; Logacheva, Varvara...
Semantic Web. 13 (2022) 3 - p. 441-475 , 2022

Link: https://doi.org/10.3233/..

11

A survey on visual transfer learning using knowledge graphs:

Monka, Sebastian ; Halilaj, Lavdim ; Rettinger, Achim...
Semantic Web. 13 (2022) 3 - p. 477-510 , 2022

Link: https://doi.org/10.3233/..

12

Knowledge graph embedding for data mining vs. knowledge gra..:

Portisch, Jan ; Heist, Nicolas ; Paulheim, Heiko...
Semantic Web. 13 (2022) 3 - p. 399-422 , 2022

Link: https://doi.org/10.3233/..

13

Prediction of adverse biological effects of chemicals using..:

Myklebust, Erik B. ; Jiménez-Ruiz, Ernesto ; Chen, Jiaoyan...
Semantic Web. 13 (2022) 3 - p. 299-338 , 2022

Link: https://doi.org/10.3233/..

14

Tab2KG: Semantic table interpretation with lightweight sema..:

Gottschalk, Simon ; Demidova, Elena ; Alam, Mehwish...
Semantic Web. 13 (2022) 3 - p. 571-597 , 2022

Link: https://doi.org/10.3233/..

15

Empirical Comparison of Semantic Similarity Measures for Te..:

, In: New Trends in Database and Information Systems; Communications in Computer and Information Science,

Boukhatem, Nabil Moncef ; Buscaldi, Davide ; Liberti, Leo - p. 167-177 , 2022

Link: https://doi.org/10.1007/..